{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Investigating the Panama Papers\n",
    "\n",
    "This demo will show how to do simple data exploration using MLDB. We will use the the Offshore Leaks Database from [ICIJ](https://offshoreleaks.icij.org/). It contains data about offshore entities from the Panama Papers and the Offshore Leaks investigations. We will be showing off the capabilities of MLDB's SQL engine and how easy it is to create simple charts using a few external python libraries. Note that even though the data is coming from our servers, no transformation has been made to the original data: all the parsing and transformations are done here using MLDB.\n",
    "\n",
    "**WARNING**: This demo requires 4GB of memory to run. If you are running this demo on VirtualBox, make sure enough memory is allocated to the virtual machine or the notebook may not run successfully."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "from pymldb import Connection\n",
    "mldb = Connection()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
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       "  }\n",
       "}(this));"
      ]
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     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# loading some plotting libraries and setting some defaults\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from pylab import rcParams\n",
    "plt.style.use('fivethirtyeight')\n",
    "rcParams['figure.figsize'] = 15, 5\n",
    "rcParams['figure.facecolor'] = 'white'\n",
    "rcParams['axes.facecolor'] = 'white'\n",
    "\n",
    "from bokeh.charts import Line, show\n",
    "from bokeh.models import HoverTool\n",
    "from bokeh.io import output_notebook\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Offshore Entities\n",
    "\n",
    "When using real-life data to do data science, a lot of time is spend getting the data in the right format. In this example, the original date in the data is not formatted correctly to be parsed into a timestamp. This is something we need to easily extract the year from it later on. One very powerful feature of MLDB is the [`jseval`][1] function, that allows us to execute arbitrary JavaScript code inline in SQL. This allows us to use JavaScript's Date object to easily parse the date for us. The other columns are straightforwardly loaded by MLDB.\n",
    "\n",
    "[1]: ../../../../doc/#builtin/sql/ValueExpression.md.html#builtinfunctions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Response [201]>\n",
      "<Response [201]>\n",
      "<Response [201]>\n"
     ]
    }
   ],
   "source": [
    "data_dir = 'http://public.mldb.ai/datasets/offshore_leaks/'\n",
    "print mldb.post(\"/v1/procedures\", {\n",
    "    \"type\": 'import.text',\n",
    "    \"params\": {\n",
    "        \"dataFileUrl\": data_dir + 'Entities.csv.gz',\n",
    "        \"delimiter\": ',',\n",
    "        \"encoding\": 'latin1',\n",
    "        \"runOnCreation\": True,\n",
    "        \"outputDataset\": 'entities_raw',\n",
    "        \"ignoreBadLines\": True,\n",
    "    }\n",
    "})\n",
    "\n",
    "print mldb.put('/v1/functions/parse_date', {\n",
    "    'type': 'sql.expression',\n",
    "    'params': {\n",
    "        'expression': \"jseval('return d ? new Date(d) : null;', 'd', date) as parsed_date\"\n",
    "    }\n",
    "})\n",
    "\n",
    "print mldb.post('/v1/procedures', {\n",
    "    'type': 'transform',\n",
    "    'params': {\n",
    "        'inputData': \"\"\"\n",
    "            SELECT\n",
    "                * EXCLUDING(incorporation_date, inactivation_date, struck_off_date, dorm_date),\n",
    "                parse_date({date: incorporation_date})[parsed_date] AS incorporation_date,\n",
    "                parse_date({date: inactivation_date})[parsed_date] AS inactivation_date,\n",
    "                parse_date({date: struck_off_date})[parsed_date] AS struck_off_date,\n",
    "                parse_date({date: dorm_date})[parsed_date] AS dorm_date\n",
    "             FROM entities_raw\n",
    "             \"\"\",\n",
    "        'outputDataset': 'entities',\n",
    "        'runOnCreation': True\n",
    "        }\n",
    "    })"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is what the created dataset looks like:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>address</th>\n",
       "      <th>company_type</th>\n",
       "      <th>countries</th>\n",
       "      <th>country_codes</th>\n",
       "      <th>ibcRUC</th>\n",
       "      <th>incorporation_date</th>\n",
       "      <th>jurisdiction</th>\n",
       "      <th>jurisdiction_description</th>\n",
       "      <th>name</th>\n",
       "      <th>node_id</th>\n",
       "      <th>service_provider</th>\n",
       "      <th>sourceID</th>\n",
       "      <th>status</th>\n",
       "      <th>valid_until</th>\n",
       "      <th>inactivation_date</th>\n",
       "      <th>internal_id</th>\n",
       "      <th>original_name</th>\n",
       "      <th>struck_off_date</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>_rowName</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>234977</th>\n",
       "      <td>Portcullis TrustNet Chambers P.O. Box 3444 Roa...</td>\n",
       "      <td>Business Company Limited by Shares</td>\n",
       "      <td>British Virgin Islands</td>\n",
       "      <td>VGB</td>\n",
       "      <td>1019510</td>\n",
       "      <td>2006-04-03T00:00:00Z</td>\n",
       "      <td>BVI</td>\n",
       "      <td>British Virgin Islands</td>\n",
       "      <td>Signature Management International Limited</td>\n",
       "      <td>149976</td>\n",
       "      <td>Portcullis Trustnet</td>\n",
       "      <td>Offshore Leaks</td>\n",
       "      <td>Active</td>\n",
       "      <td>The Offshore Leaks data is current through 2010</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212107</th>\n",
       "      <td>FIGEST CONSEIL S.A. 20, RUE DU CONSEIL-GENERAL...</td>\n",
       "      <td>None</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>CHE</td>\n",
       "      <td>4742</td>\n",
       "      <td>1999-08-12T00:00:00Z</td>\n",
       "      <td>NIUE</td>\n",
       "      <td>Niue</td>\n",
       "      <td>SUNFLOWER S.A.</td>\n",
       "      <td>10212959</td>\n",
       "      <td>Mossack Fonseca</td>\n",
       "      <td>Panama Papers</td>\n",
       "      <td>Dissolved</td>\n",
       "      <td>The Panama Papers data is current through 2015</td>\n",
       "      <td>2005-01-19T00:00:00Z</td>\n",
       "      <td>900146</td>\n",
       "      <td>SUNFLOWER S.A.</td>\n",
       "      <td>2006-04-12T00:00:00Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234971</th>\n",
       "      <td>Portcullis TrustNet Chambers P.O. Box 3444 Roa...</td>\n",
       "      <td>Business Company Limited by Shares</td>\n",
       "      <td>British Virgin Islands</td>\n",
       "      <td>VGB</td>\n",
       "      <td>1390171</td>\n",
       "      <td>2007-03-07T00:00:00Z</td>\n",
       "      <td>BVI</td>\n",
       "      <td>British Virgin Islands</td>\n",
       "      <td>Meilin Electronics Information Technology (HK)...</td>\n",
       "      <td>153611</td>\n",
       "      <td>Portcullis Trustnet</td>\n",
       "      <td>Offshore Leaks</td>\n",
       "      <td>Active</td>\n",
       "      <td>The Offshore Leaks data is current through 2010</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234963</th>\n",
       "      <td>Portcullis TrustNet Chambers P.O. Box 3444 Roa...</td>\n",
       "      <td>Business Company Limited by Shares</td>\n",
       "      <td>British Virgin Islands</td>\n",
       "      <td>VGB</td>\n",
       "      <td>1019846</td>\n",
       "      <td>2006-04-04T00:00:00Z</td>\n",
       "      <td>BVI</td>\n",
       "      <td>British Virgin Islands</td>\n",
       "      <td>EWING TECHNOLOGIES LTD.</td>\n",
       "      <td>149954</td>\n",
       "      <td>Portcullis Trustnet</td>\n",
       "      <td>Offshore Leaks</td>\n",
       "      <td>Active</td>\n",
       "      <td>The Offshore Leaks data is current through 2010</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225788</th>\n",
       "      <td>None</td>\n",
       "      <td>Standard International Company</td>\n",
       "      <td>British Virgin Islands</td>\n",
       "      <td>VGB</td>\n",
       "      <td>82919</td>\n",
       "      <td>1993-04-07T00:00:00Z</td>\n",
       "      <td>BVI</td>\n",
       "      <td>British Virgin Islands</td>\n",
       "      <td>PEIPUS INTERNATIONAL LIMITED</td>\n",
       "      <td>143357</td>\n",
       "      <td>Portcullis Trustnet</td>\n",
       "      <td>Offshore Leaks</td>\n",
       "      <td>Struck / Defunct / Deregistered</td>\n",
       "      <td>The Offshore Leaks data is current through 2010</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    address  \\\n",
       "_rowName                                                      \n",
       "234977    Portcullis TrustNet Chambers P.O. Box 3444 Roa...   \n",
       "212107    FIGEST CONSEIL S.A. 20, RUE DU CONSEIL-GENERAL...   \n",
       "234971    Portcullis TrustNet Chambers P.O. Box 3444 Roa...   \n",
       "234963    Portcullis TrustNet Chambers P.O. Box 3444 Roa...   \n",
       "225788                                                 None   \n",
       "\n",
       "                                company_type               countries  \\\n",
       "_rowName                                                               \n",
       "234977    Business Company Limited by Shares  British Virgin Islands   \n",
       "212107                                  None             Switzerland   \n",
       "234971    Business Company Limited by Shares  British Virgin Islands   \n",
       "234963    Business Company Limited by Shares  British Virgin Islands   \n",
       "225788        Standard International Company  British Virgin Islands   \n",
       "\n",
       "         country_codes   ibcRUC    incorporation_date jurisdiction  \\\n",
       "_rowName                                                             \n",
       "234977             VGB  1019510  2006-04-03T00:00:00Z          BVI   \n",
       "212107             CHE     4742  1999-08-12T00:00:00Z         NIUE   \n",
       "234971             VGB  1390171  2007-03-07T00:00:00Z          BVI   \n",
       "234963             VGB  1019846  2006-04-04T00:00:00Z          BVI   \n",
       "225788             VGB    82919  1993-04-07T00:00:00Z          BVI   \n",
       "\n",
       "         jurisdiction_description  \\\n",
       "_rowName                            \n",
       "234977     British Virgin Islands   \n",
       "212107                       Niue   \n",
       "234971     British Virgin Islands   \n",
       "234963     British Virgin Islands   \n",
       "225788     British Virgin Islands   \n",
       "\n",
       "                                                       name   node_id  \\\n",
       "_rowName                                                                \n",
       "234977           Signature Management International Limited    149976   \n",
       "212107                                       SUNFLOWER S.A.  10212959   \n",
       "234971    Meilin Electronics Information Technology (HK)...    153611   \n",
       "234963                              EWING TECHNOLOGIES LTD.    149954   \n",
       "225788                         PEIPUS INTERNATIONAL LIMITED    143357   \n",
       "\n",
       "             service_provider        sourceID  \\\n",
       "_rowName                                        \n",
       "234977    Portcullis Trustnet  Offshore Leaks   \n",
       "212107        Mossack Fonseca   Panama Papers   \n",
       "234971    Portcullis Trustnet  Offshore Leaks   \n",
       "234963    Portcullis Trustnet  Offshore Leaks   \n",
       "225788    Portcullis Trustnet  Offshore Leaks   \n",
       "\n",
       "                                   status  \\\n",
       "_rowName                                    \n",
       "234977                             Active   \n",
       "212107                          Dissolved   \n",
       "234971                             Active   \n",
       "234963                             Active   \n",
       "225788    Struck / Defunct / Deregistered   \n",
       "\n",
       "                                              valid_until  \\\n",
       "_rowName                                                    \n",
       "234977    The Offshore Leaks data is current through 2010   \n",
       "212107     The Panama Papers data is current through 2015   \n",
       "234971    The Offshore Leaks data is current through 2010   \n",
       "234963    The Offshore Leaks data is current through 2010   \n",
       "225788    The Offshore Leaks data is current through 2010   \n",
       "\n",
       "             inactivation_date  internal_id   original_name  \\\n",
       "_rowName                                                      \n",
       "234977                    None          NaN            None   \n",
       "212107    2005-01-19T00:00:00Z       900146  SUNFLOWER S.A.   \n",
       "234971                    None          NaN            None   \n",
       "234963                    None          NaN            None   \n",
       "225788                    None          NaN            None   \n",
       "\n",
       "               struck_off_date  \n",
       "_rowName                        \n",
       "234977                    None  \n",
       "212107    2006-04-12T00:00:00Z  \n",
       "234971                    None  \n",
       "234963                    None  \n",
       "225788                    None  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mldb.query(\"SELECT * FROM entities LIMIT 5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now count the number of offshore companies per jurisdiction (the country when they are legally located)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                           count\n",
      "_rowName                        \n",
      "British Virgin Islands    151587\n",
      "Panama                     48373\n",
      "Bahamas                    15946\n",
      "Seychelles                 15580\n",
      "Samoa                      13418\n",
      "Niue                        9611\n",
      "British Anguilla            3253\n",
      "Cook Islands                2637\n",
      "Hong Kong                   1603\n",
      "Nevada                      1260\n",
      "Singapore                    740\n",
      "Cayman                       668\n",
      "Labuan                       423\n",
      "United Kingdom               151\n",
      "Belize                       130\n",
      "Mauritius                     82\n",
      "Cyprus                        79\n",
      "Costa Rica                    78\n",
      "Malaysia                      71\n",
      "Uruguay                       52\n",
      "New Zealand                   47\n",
      "Jersey                        39\n",
      "Wyoming                       37\n",
      "Malta                         28\n",
      "Liberia                       11\n",
      "Isle Of Man                    8\n",
      "Marshall Islands               6\n",
      "Bermuda                        6\n",
      "Vanuatu                        5\n",
      "\"St. Lucia\"                    4\n",
      "Netherlands                    2\n",
      "Ras Al Khaimah                 2\n",
      "Dubai                          2\n",
      "Thailand                       2\n",
      "United States Of America       2\n",
      "Brunei                         2\n",
      "Ireland                        1\n",
      "China                          1\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0176f8bd0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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6SoWFhZo/f748PDz0+uuvS5LS09N11113KTAwUI8++qiMMfL19T0nx6EWDT0A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\ntHPnTuXn56umpkZ79uzRzp0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HD5ckJSQkaMGCBda83W7XmjVrNGnSJPXr10/e3t4aM2aM\nZs+e3RSlAgAAAABwUWiSht7Hx0dz5szRnDlzTho3bdo0TZs2rcF5Dw8PpaenKz09vcGYgIAALV26\n9KR5wsPDtXr16pPvNAAAAAAATqxJ7qEHAAAAAADnFw09AAAAAABOiIYeAAAAAAAnREMPAAAAAIAT\noqEHAAAAAMAJ0dADAAAAAOCEaOgBAAAAAHBCNPQAAAAAADghGnoAAAAAAJwQDT0AAAAAAE6Ihh4A\nAAAAACdEQw8AAAAAgBOioQcAAAAAwAnR0AMAAAAA4IRo6AEAAAAAcEI09AAAAAAAOCEaegAAAAAA\nnBANPQAAAAAAToiGHgAAAAAAJ0RDDwAAAACAE6KhBwAAAADACdHQAwAAAADghGjoAQAAAABwQjT0\nAAAAAAA4IRp6AAAAAACcEA09AAAAAABOqMka+pKSEiUnJyskJETe3t7q3LmzNm3a5BAzffp0tWnT\nRj4+Pho0aJA+++wzh/njx49r8uTJCg4Olq+vrxISErR3716HmLKyMt1+++0KDAxUYGCgkpKSdOjQ\nIYeYoqIixcfHy9fXV8HBwUpJSVFVVVVTlQoAAAAAwAXXJA39oUOH1LdvX9lsNmVmZurzzz/XggUL\nFBISYsXMmjVL8+bN08KFC5WXl6eQkBDFxMToyJEjVkxKSopWrVqlFStW6MMPP1R5eblGjhwpY4wV\nk5iYqPz8fK1du1ZZWVnavn27kpKSrPmamhqNGDFCR44c0ebNm/Xmm2/q7bff1pQpU5qiVAAAAAAA\nLgruTbHIrFmzFBYWpiVLllhjERERDjHp6el6+OGHNWrUKElSRkaGQkJC9MYbb2jcuHEqLy/X4sWL\nlZGRocGDB0uSli1bpoiICK1fv14xMTEqKChQVlaWcnJy1KtXL0nSokWLFB0drcLCQnXo0EFZWVlW\nXFhYmCRp9uzZGjdunGbMmCFfX9+mKBkAAAAAgAuqSc7Q//Of/9R1112n0aNHKzQ0VN27d9fChQut\n+W+//VYlJSWKiYmxxry8vNS/f3/l5ORIkvLy8lRVVeUQEx4ersjISCsmNzdXfn5+6t27txXTt29f\nNW/e3CEmMjLSauYlKTY2VpWVldq2bVtTlAsAAAAAwAXXJA39N998oxdeeEGXX3651q5dq9TUVD30\n0EN64YUXJP16f73NZlNoaKjDdqGhoSopKZEklZaWys3NTZdcckmDMSUlJQoODq6TPyQkxCHmt3mC\ngoLk5uZmxQAAAAAA4Oya5JL7mpoa9erVSzNmzJAkde3aVV9++aUWLlyoSZMmNUUKAAAAAABwAps5\n8YlzZ6hdu3YaNmyYXnrpJWvstdde01133aWKigp9++23uvzyy7V161b17NnTihk5cqSCg4O1ZMkS\nvf/++xo6dKj27dvncJa+c+fOuvnmm5WWlqYlS5YoNTW1zlPt/fz89Pzzz2vs2LFKS0vTypUr9ckn\nn1jzBw4cUEhIiN5//30NGDDAGj9xncLCwjp1fftthG65pe4VAQ156639at9+d6PjAQAAAACoT4cO\nHaw/BwQE1B9kmsCtt95q+vfv7zD26KOPmqioKOv71q1bm5kzZ1rfHz161Pj7+5uXX37ZGGPMoUOH\njKenp1m+fLkVU1RUZOx2u1m3bp0xxpiCggJjt9vNli1brJjNmzcbu91uvvzyS2OMMZmZmcbNzc3s\n3bvXinn99deNt7e3qaiocNjHsrIy66s+mZlHjWQa/ZWZefS0jtvJbN26tcnWuhDru0oOV6jBVXK4\nQg2uksMVajgfOVyhBlfJ4Qo1uEoOV6jhfORwhRpcJYcr1OAqOVyhhtPNcap+1RhjmuSS+/vuu099\n+/bV008/rT/+8Y/avn27FixYoGeeecaKSU1N1cyZM9WxY0d16NBBTz31lPz8/JSYmChJ8vf31513\n3qmpU6cqODhYLVu21JQpU9StWzcNGTJEktSpUyfFxsZqwoQJWrRokYwxmjhxouLj463fXgwbNkxR\nUVFKSkrS3LlzdeDAAU2dOlXjx4/nCfcAAAAAAJfRJA39Nddco3feeUcPP/ywnnrqKV166aWaMWOG\nJv5/9u47rIqjbQP4c0BUOihgAWJFQVSIFDVgR1HsXbFLghVrxBbBGEsUjaKxx96iEQsajS2oETuW\nGMUSC/aCiiKhyv39wXX2A0FDOWjgvX/X5fW+OWeZmd2zOzvPzOzswIHKNv7+/pKQkCBDhw6Vly9f\nSu3atWX//v2ir6+vbBMcHCw6OjrSrVs3iY+PFw8PD1m3bp2oVCplm02bNomfn580b95cRETatm0r\nCxYsUL7X0tKSX3/9VQYPHizu7u6iq6srPXv2lFmzZmliV4mIiIiIiIj+EzQS0IuItGjRQlq0aPHB\nbQICAiQgIOC93+vo6EhwcLAEBwe/dxtjY2NZu3btB/OxsrKS0NDQDxeYiIiIiIiIqADTyGvriIiI\niLv15UUAACAASURBVIiIiOjjYkBPREREREREVAAxoCciIiIiIiIqgBjQExERERERERVADOiJiIiI\niIiICiAG9EREREREREQFEAN6IiIiIiIiogKIAT0RERERERFRAcSAnoiIiIiIiKgAYkBPRERERERE\nVAAxoCciIiIiIiIqgBjQExERERERERVADOiJiIiIiIiICiAG9EREREREREQFEAN6IiIiIiIiogKI\nAT0RERERERFRAcSAnoiIiIiIiKgAKvKpC/C/LDIyQaKisv4uNracREcnZPq8XDkRO7vi+VwyIiIi\nIiIi+q9jQP8JRUWJtGjxvuA868/37k0QO7v8KxMREREREREVDJxyT0RERERERFQAMaAnIiIiIiIi\nKoAY0BMREREREREVQAzoiYiIiIiIiAogBvREREREREREBRADeiIiIiIiIqICiAE9ERERERERUQGU\nLwH9jBkzREtLS4YNG5bh88mTJ4ulpaXo6elJo0aN5MqVKxm+T0pKEj8/PzE3NxcDAwNp27atPHjw\nIMM2MTEx0qtXLzExMRETExPp3bu3vHr1KsM29+7dk9atW4uBgYGYm5vL8OHDJSUlJT92lYiIiIiI\niOiT0HhAf/LkSVm+fLk4ODhk+HzmzJkyd+5cWbhwoZw9e1YsLCykadOmEhcXp2wzfPhw2b59u2ze\nvFmOHTsmr1+/llatWgkAZZvu3bvLhQsXZP/+/bJv3z45d+6c9O7dW/k+NTVVvLy8JC4uTsLDw+Xn\nn3+WrVu3yujRozW9q0RERERERESfjEYD+levXknPnj1l1apVYmJikuG74OBgGT9+vLRr106qVasm\na9askdjYWNm4caOIiLx+/VpWrlwps2fPlsaNG4ujo6OsW7dO/vzzTzl48KCIiERGRsq+fftk+fLl\n4urqKrVr15alS5fKrl275MaNGyIism/fPomMjJT169eLg4ODNGnSRGbNmiXLly+XN2/eaHJ3iYiI\niIiIiD4ZjQb0vr6+0qVLF2nQoEGGz2/fvi2PHz+Wpk2bKp8VL15c6tevL8ePHxcRkbNnz0pKSkqG\nbaysrMTOzk7Z5uTJk2JoaCh16tRRtnFzcxN9ff0M29jZ2UnZsmWVbTw9PSUhIUEiIiI0ubtERERE\nREREn0wRTSW0fPlyuXXrlmzatCnTd48fPxaVSiWlSpXK8HmpUqXk4cOHIiLy5MkT0dbWlpIlS2ba\n5vHjx0o65ubmmdK3sLDIsM27+ZiZmYm2trayDREREREREVFBp5GA/vr16zJx4kQJDw8XLS0unE9E\nRERERESU31RIv+JcLq1Zs0b69++fIZh/+/atqFQq0dbWlr/++ktsbW3lzJkz4uTkpGzTqlUrMTc3\nl1WrVklYWJh4eHjI06dPM4zSV69eXTp37iyBgYGyatUqGTFiRKZV7Q0NDeXHH3+UPn36SGBgoGzb\ntk0uXbqkfB8dHS0WFhYSFhaW4XGA9Omon8FP7/btctKlS+YZAe+zZcszqVAhKtvb5zT93ORBRERE\nREREBY+NjY3y/42NjbPeCBrw6tUrXL58OcM/FxcX9OjRA1euXAEAlClTBjNmzFD+Jj4+HkZGRli+\nfLmSRtGiRbFp0yZlm3v37kFLSwsHDhwAAERGRkJLSwsnTpxQtgkPD4eWlhauX78OANi7dy+0tbXx\n4MEDZZsNGzZAV1cXsbGxGcodExOj/MvK3r3xEEG2/+3dG5+j45bT9HOTx/ucOXNGI+kU9jwKwz4U\nljwKwz4UljwKwz58jDwKwz4UljwKwz4UljwKwz58jDwKwz4UljwKwz4UljwKwz7kNI9/i1cBQCNT\n7o2MjKRatWoZPtPX15cSJUqInZ2diIiMGDFCZsyYIVWrVhUbGxuZOnWqGBoaSvfu3ZU0fHx8xN/f\nX8zNzaVEiRIyevRocXR0lCZNmoiIiK2trXh6esqAAQNk6dKlAkAGDhworVu3VnovmjVrJvb29tK7\nd2+ZPXu2REdHi7+/v/j6+oqBgYEmdpeIiIiIiIjok9PYonjvUqlUGf7b399fEhISZOjQofLy5Uup\nXbu27N+/X/T19ZVtgoODRUdHR7p16ybx8fHi4eEh69aty5DWpk2bxM/PT5o3by4iIm3btpUFCxYo\n32tpacmvv/4qgwcPFnd3d9HV1ZWePXvKrFmz8mtXiYiIiIiIiD66fAvof//990yfBQQESEBAwHv/\nRkdHR4KDgyU4OPi92xgbG8vatWs/mLeVlZWEhoZmv7BEREREREREBQyXpCciIiIiIiIqgBjQExER\nERERERVADOiJiIiIiIiICiAG9EREREREREQFEAN6IiIiIiIiogKIAT0RERERERFRAcSAnoiIiIiI\niKgAYkBPREREREREVAAxoCciIiIiIiIqgBjQExERERERERVADOiJiIiIiIiICiAG9EREREREREQF\nEAN6IiIiIiIiogKIAT0RERERERFRAcSAnoiIiIiIiKgAYkBPREREREREVAAxoCciIiIiIiIqgBjQ\nExERERERERVADOiJiIiIiIiICiAG9EREREREREQFEAN6IiIiIiIiogKIAT0RERERERFRAcSAnoiI\niIiIiKgAYkBPREREREREVAAxoCciIiIiIiIqgBjQExERERERERVADOiJiIiIiIiICiCNBPQzZswQ\nV1dXMTY2FgsLC2nTpo1cvnw503aTJ08WS0tL0dPTk0aNGsmVK1cyfJ+UlCR+fn5ibm4uBgYG0rZt\nW3nw4EGGbWJiYqRXr15iYmIiJiYm0rt3b3n16lWGbe7duyetW7cWAwMDMTc3l+HDh0tKSoomdpWI\niIiIiIjoP0EjAf3Ro0dl6NChcuLECQkLC5MiRYqIh4eHxMTEKNvMnDlT5s6dKwsXLpSzZ8+KhYWF\nNG3aVOLi4pRthg8fLtu3b5fNmzfLsWPH5PXr19KqVSsBoGzTvXt3uXDhguzfv1/27dsn586dk969\neyvfp6amipeXl8TFxUl4eLj8/PPPsnXrVhk9erQmdpWIiIiIiIjoP6GIJhLZu3dvhv9et26dGBsb\nS3h4uLRs2VJERIKDg2X8+PHSrl07ERFZs2aNWFhYyMaNG+Wrr76S169fy8qVK2XNmjXSuHFjJZ1y\n5crJwYMHpWnTphIZGSn79u2T48ePi6urq4iILF26VOrVqyc3btwQGxsb2bdvn7Jd2bJlRURk1qxZ\n8tVXX8m0adPEwMBAE7tMRERERERE9EnlyzP0r1+/ltTUVDE1NRURkdu3b8vjx4+ladOmyjbFixeX\n+vXry/Hjx0VE5OzZs5KSkpJhGysrK7Gzs1O2OXnypBgaGkqdOnWUbdzc3ERfXz/DNnZ2dkowLyLi\n6ekpCQkJEhERkR+7S0RERERERPTR5UtAP3z4cKlVq5bUrVtXREQeP34sKpVKSpUqlWG7UqVKyePH\nj0VE5MmTJ6KtrS0lS5Z87zaPHz8Wc3PzTPlZWFhk2ObdfMzMzERbW1vZhoiIiIiIiKig08iU+/RG\njRolx48fl/DwcFGpVJpOnoiIiIiIiIhERIX0K87l0ciRI2XLli1y+PBhsbGxUT6/ffu2VKpUSc6c\nOSNOTk7K561atRJzc3NZtWqVhIWFiYeHhzx9+jTDKH316tWlc+fOEhgYKKtWrZIRI0ZkWtXe0NBQ\nfvzxR+nTp48EBgbKtm3b5NKlS8r30dHRYmFhIWFhYdKgQQPl8/Tp3LhxI9P+3L5dTrp0yTwj4H22\nbHkmFSpEZXv7nKafmzyIiIiIiIio4EkfUxsbG2e9ETRk2LBhKFOmDK5du5bl92XKlMGMGTOU/46P\nj4eRkRGWL18OAHj16hWKFi2KTZs2Kdvcu3cPWlpaOHDgAAAgMjISWlpaOHHihLJNeHg4tLS0cP36\ndQDA3r17oa2tjQcPHijbbNiwAbq6uoiNjc1QppiYGOVfVvbujYcIsv1v7974nByyHKefmzze58yZ\nMxpJp7DnURj2obDkURj2obDkURj24WPkURj2obDkURj2obDkURj24WPkURj2obDkURj2obDkURj2\nIad5/Fu8CgAamXI/ZMgQWb9+vezcuVOMjY3lyZMnIiJiYGAg+vr6IiIyYsQImTFjhlStWlVsbGxk\n6tSpYmhoKN27dxcRESMjI/Hx8RF/f38xNzeXEiVKyOjRo8XR0VGaNGkiIiK2trbi6ekpAwYMkKVL\nlwoAGThwoLRu3VrpvWjWrJnY29tL7969Zfbs2RIdHS3+/v7i6+vLFe6JiIiIiIio0NBIQL948WJR\nqVRK4K0WGBgoAQEBIiLi7+8vCQkJMnToUHn58qXUrl1b9u/frwT8ImmvttPR0ZFu3bpJfHy8eHh4\nyLp16zI8i79p0ybx8/OT5s2bi4hI27ZtZcGCBcr3Wlpa8uuvv8rgwYPF3d1ddHV1pWfPnjJr1ixN\n7CoRERERERHRf4JGAvrU1NRsbRcQEKAE+FnR0dGR4OBgCQ4Ofu82xsbGsnbt2g/mY2VlJaGhodkq\nExEREREREVFBlC+vrSMiIiIiIiKi/MWAnoiIiIiIiKgA0vh76Om/JTIyQaKyeMtdbGw5iY5OyPR5\nuXIidnbFP0LJiIiIiIiIKC8Y0BdyUVEiLVpkFaBnHbTv3ZsgdnY5y4OdBkRERERERB8fA3rKs4/R\naUBEREREREQZ8Rl6IiIiIiIiogKIAT0RERERERFRAcQp91Qg8Dl9IiIiIiKijBjQU4HA5/SJiIiI\niIgy4pR7IiIiIiIiogKIAT0RERERERFRAcSAnoiIiIiIiKgAYkBPREREREREVAAxoCciIiIiIiIq\ngLjKPZHk/LV4Inw1HhERERERfVoM6Ikk56/FE+Gr8YiIiIiI6NPilHsiIiIiIiKiAogBPRERERER\nEVEBxICeiIiIiIiIqABiQE9ERERERERUADGgJyIiIiIiIiqAGNATERERERERFUAM6ImIiIiIiIgK\nIAb0RERERERERAUQA3oiIiIiIiKiAogBPREREREREVEBVORTFyC/LFq0SGbPni2PHj0Se3t7mTdv\nnri7u3/qYtH/sMjIBImKyvx5bGw5iY5OyPR5uXIidnbFP0LJiIiIiIioICqUAf3mzZtlxIgRsmTJ\nEnFzc5OFCxdKixYtJDIyUqysrD518eh/VFSUSIsWWQXoWQfte/cmiJ1dzvJgpwERERER0f+OQhnQ\nz507V/r37y/9+/cXEZH58+fLb7/9JosXL5Zp06Z94tIR5Z+P0WlARERERET/DYUuoE9OTpaIiAgZ\nM2ZMhs+bNWsmx48f/0SlIioc3jcDQISzAIiIiIiIPrZCF9BHR0fL27dvpVSpUhk+L1WqlBw6dOgT\nlYqocHj/DAARTc0CyOljAyI57zTgowlEREREVBioAOBTF0KTHj16JJaWlnL06NEMi+B99913snHj\nRomMjFQ+e/Xq1acoIhEREREREVG2GRsbZ/l5oXttnZmZmWhra8uTJ08yfP7kyRMpXbr0JyoVERER\nERERkWYVuoBeR0dHnJyc5MCBAxk+P3DggLi5uX2iUhERERERERFpVqF7hl5EZNSoUdK7d29xcXER\nNzc3Wbx4sTx69EgGDBiQYbv3TVsgIiIiIiIi+q8rlAF9ly5d5MWLFzJt2jR59OiRVK9eXfbu3SvW\n1tafumhEREREREREGlHoFsUjIiIiIiIi+l9Q6J6hJyKi/zYAwr5kKqzU53ZqauonLgn9V/0v13/p\n9z01NfV/+lh8KqybCh8G9P8BycnJn7oIhQpvDjmnrtwfPnwot27dkrdv32okXfVvER8fL3FxcRpJ\nszD6XzpnU1NTRaVSiUqlytXfF/Rj9anKz4bz+127dk2+/vpruX79ukbSGzp0qDx//ly0tD5+E4sN\n9f8m9bWXlJQkL1++zFD//Vevy9TUVI2fT+r6X71wtZaWVq7vBbn1Xz3eH6tcT548kSFDhsjRo0fl\n5cuX/9nj8V/xsY5PXu/R2pMnT56sueJQdr19+1a0tLTk7NmzcujQITEwMJASJUpk++8BfPRKUFPU\nFfrNmzflzp07UqpUKRGRPO1P+uOh/l/1xaGp46Qu96eUfn+uX78uDx8+lNevX0tKSoro6+vnunzq\nvxs4cKDExcWJjY2N6OnpSVxcnBQpUiTX6aampoqWlpZMnDhRwsLCRKVSSfHixUVPT09jjd2CfC2o\nfYoGzcfMU13fhYeHy/fffy9Tp06V27dvi5GRkVhYWIi2tna20yqov7W64zb9ef8xfoekpCTR1tbO\n0Imi/j3+qz72+Xny5EmZOHGi/Pjjj7Jz505RqVRiaWkpBgYGOU7r4cOHMmbMGDl8+LDUqlVLLCws\n8qHE/099X3r9+rUUK1Ysw3HT5D2rMNSzagDk+fPn8uDBA4mKipKiRYuKnp5evuapvhcuWbJEAgMD\npWrVqsq6TqmpqRITEyO6uro5Ps7qAEBTv01ycrIEBQVJxYoVxcjIKEN7ShP5qFQqSUpKkhYtWsio\nUaPkzJkzYmxsLFWqVMlz2XNShvykrl8jIyNlw4YNMnfuXLl48aKULVtWzMzMslWu/LzeLl26JOPH\nj5dVq1bJ7t275c2bN6Kvry8GBgZStGjRfMlT006cOCGJiYly48YN0dfXz9W182+eP38uenp6+f67\npKamSlJSkujo6OTpemNA/wmpVCrx9vaWlJQU8fT0FH19fbl06ZJs3bpVHj58KDY2Nu8dydL0Caa+\n8UdHR8v58+elWLFiuWrMZIe6vAMHDpQ7d+6Ira2tmJqaSkxMjCQmJkrx4sVznKZKpZKnT59KSEiI\nHDlyRCwtLcXY2DjPDdh3Owo+dUNYXZZZs2bJuHHjZMaMGRIaGiqXL1+WmJgY0dbWlqJFi4qurm62\n01T/9hERETJp0iSZOnWqlC9fXp49eyZDhgyRiRMnyv3796V+/fpSpEjO1tFUH6t169bJ0qVLZceO\nHXLs2LEMZX23wsypj93wf/78uYiIFCtWTAlEc3MNqo/77du3Zdu2bXL8+HG5cuWKpKamirm5ucbP\ns8TERHn58mWmjp+P0VDX0tKSxMREqV27tujo6IidnZ3s27dPZs6cKTt27JB//vlHSpYs+d7GzsuX\nL+XWrVvy999/S2xsrJibm+dLOfOjHlTXGStXrpT58+dLxYoVpXTp0iKSdu7mZ0dhWFiYzJ49W2bO\nnCnnz58Xc3NzsbS0zNc6TBPnk/rvBw0aJBUqVBALC4t8PU+rVKkigwYNksaNG0tMTIxMnjxZfvrp\nJzl9+rQUK1ZMrK2ts93QNTQ0lGbNmkloaKj8/PPPUr16dfnss89EJP+uNZVKJd9++61Mnz5dRERK\nlCiR4f6niaAvv+uMj1EPpaSkiJaWluzatUsGDhwoAQEBEhERIadOnZKoqChRqVRSsmRJ0dHR0Xje\n6rZcz549pW/fvtK6dWvR1taWb775RsaPHy8XL16U2rVri6Gh4b+m9W67JH0QkNdjGBERIQMGDJAl\nS5bInj17REtLS6pVq5anjv13y52QkCADBgyQDh06yNWrV+WXX36Rr776Kk9pf4j6uNy9e1eOHTsm\nurq6md5ypal6OCUlRWkneXp6ytGjR8XMzEzOnj0r06ZNky1btkhCQoIyaKI2f/582b59u3h4eIiI\nZLh2NX1dWFtby7hx46RNmzby8uVLmTZtmvzyyy9y7NgxSUxMFGNjY9HT08txey+/qe+loaGh0qFD\nB1m7dq2cOHFCdu/eLXfv3pXixYtLyZIlpUiRIho5bgMHDpS9e/dKfHy8GBkZabxOFUm7R8+cOVNW\nr14tR44cEW1t7Q/Gfh8E+uhSU1MBAA8fPoS+vj5u3boFADh//jzKlCkDFxcXVK5cGceOHcPbt28B\nALGxsdiwYQNmzpyJGTNmYNeuXXjy5InGypScnAwAGD58ONq2bYtr164BAF6/fo2IiAj8+eefGcqe\nW+q/v337NvT19REZGQkAePToEerVqwdDQ0O0atUK0dHR2UovJSUFAHDw4EHUrVsXNWvWhK2tLVQq\nFWrUqIElS5YgLi4uT2W+desWhgwZAk9PT3z99dfKsfnY1OdCREQESpUqheXLl+PVq1dQqVSoWbMm\nVCoVnJ2d4e3tjYcPH2Y7XfUxHDBgALp16wYAuHbtGnx9fWFjY4OJEyfC3t4ely5dylF51efUgQMH\nMHHiRHTp0gUrVqxAu3btUKxYMZiZmaF///7YsGEDXr16le101efQ27dvsX//fixZsgQRERF49OiR\ncow0RZ3evXv34Ofnh6pVq0KlUqFSpUq4d++eRvJo1KgRSpcuDUtLS9SoUQONGjXC0KFDsWHDBuX6\nyA317/r3339j4MCBsLe3R4cOHTB+/Hjs2LEjR+dIXqh/r7Vr18LJyQmJiYkAgKSkJJw6dQp+fn4o\nW7YsVCoVHj9+nKn8O3bsgJeXF4yNjVG8eHGMGjUKQNpvo+nfOz/rwUqVKmHBggVKffTDDz+gbdu2\nmDdvXp7r1fTUxy0sLAzVq1eHl5cXxo0bB5VKBZVKBWtra0yfPh1///13nvOKjo7Gmzdv8OzZszzX\ns++KiYlBrVq10KpVK1y5ckWjaX8oz++++w7Ozs7o0aMHGjZsiGLFiqFMmTKYMGECjhw58q9pqM/J\nFy9eoEuXLnB0dMTu3bvztdxv376Fv78/DAwMoKenB0dHR/Tu3RshISGIiYnJUVrqc/HBgweYMmUK\n/P39MWnSJISEhODBgwf5UXzlnI2Pj9f4NZ2Vzz77DMOGDcOePXsQFBSEli1bwsHBAQ0bNkT37t2x\nb98+jeanPqYXL16EkZERYmNjkZycjIULF8La2hoTJkyAsbExAgMDs73/z58/x6+//org4GCcPXs2\nU365rVPi4uIQERGBVatWoXPnzrC0tESJEiXg4+ODAwcOZNifnFL/3ZgxYzBp0iQcPnwYjx8/Vu4J\n+fXbq8+vXr16YeDAgbhz5w4A4OnTpzh69CjevHmj8Tx37dqFMmXKIDo6GjExMbh27Rq2bt0KHx8f\nVKpUCSqVKkO9tnbtWmzatAkA8M0332DgwIG4evVqhjQ1dZ9QHw8AWLhwIdzd3eHr64sWLVqgePHi\nMDc3h5+fH7Zs2YLY2FiN5KkpqampKF26NJo0aYJLly6hRIkS0NPTg66uLqysrNCoUSMcO3Ysz/m8\nevUKffr0QcOGDeHi4oI2bdpg0qRJCAsLy1Sn5vS8TR+3ODg4oGnTphg+fDhUKhVKly4NOzs7TJw4\nMcf7wYD+E1BflIsWLUKtWrUAADdu3EC3bt3Qu3dv3LhxA23atMHgwYOVE6VXr16oXLky3N3dUbp0\naaWhNmPGDOzbtw/x8fEaKZuZmRl27twJAHjz5g28vLxgb2+PunXrIiIiIs/pq0/kyZMno3HjxgDS\n9n3AgAFwdXXF9u3bUaFCBezYsSNb6amPj4uLC0aNGoWXL1+iV69eqFevHjp06KA0YgcOHJijcqrT\nvXTpEpycnNCqVSsMGDAAKpVKadTfv38/R2nmlfrYffnll/D29gYArFq1Co6OjgCA5cuXQ1dXFy4u\nLrlKv0OHDhgwYAAAYMSIEejcuTPOnDkDAGjQoAHmzZuXo/TUx9DOzg4//PBDhkovJiYGTZo0QbFi\nxaCtrQ03N7ccd5T0798flStXVoJsBwcHjBs3DidPnsx2h9C/UQd4AwcOhIeHByIiIjB37lxUq1YN\nQFqn3PTp0xEVFZWjdNXHYvv27ShVqpTSwDh48CBGjBgBNzc3ODk5wc3NLdeBt/p8ad26NerVqwc/\nPz94e3vD1dUVzs7O6Ny5MyZPnowTJ07kKv2cCg8Px9ixY5XGW3qvX79Wbl7vNloqVqyIsWPHAgDK\nly+P77//HkBawLp9+3YkJCRovKyaqgfVv/OJEydgamqK+Ph4JCYmYvXq1TAzM0PXrl2hUqmwZs0a\njZVd/bs3a9YMgwcPBgBMmTIFbm5uCA0NhY2NDVQqFSpUqJCnfNatW4datWqhePHiaNSoESZNmoQD\nBw7g3r17Wf7GuXHu3DnUrVsXVlZW2LFjB96+fYvU1FSNN/yTkpIAAJMmTUKTJk1w//59pKam4s2b\nNzh16hQ8PT2Ve0lOGv8JCQnw9fVFyZIlsXz5cuVc1VT51b/1r7/+iu7du2P48OGYP38+RowYgbp1\n68LExAR16tTB119/jfPnz2c73fj4eDRs2BD29vZo164djI2NUaNGDTRt2hRTpkzBzp0783zdqa/z\n48ePo2PHjqhUqRJ8fHywYsUKXLx4MccdEdn1999/w8HBAc+ePcvw+fHjx/HNN9+gevXq2eq4ya70\nwXVISAi++OILAMDRo0fRqFEj5b76008/oUmTJh9MS/17nzt3Dp6enihbtiwaNGgAAwMDfP7555g2\nbZoyQKQJT58+xbFjxzB48GDl/N+wYUOe0kxJScH06dPRqlUr1KtXD126dNF4Z2BWEhISoK+vjz/+\n+AMA8OTJEzRo0ADly5eHtbW10tbJi5EjR2LTpk1ITU3F6dOnMWrUqEz3s1evXuHcuXNK8J6V6dOn\no0KFCtDW1oaDgwOCg4Mzna95oW7XzJ8/H59//nmGtuy9e/fQr18/5ff+2O3c91Gf+2vXroWtrS2A\ntIFAIyMjdO7cGdWqVUORIkVgYmICPz8/7N69O8MAQW49e/YMixYtQv369VG8eHFYW1ujU6dOCAoK\nQkREhHIsc7MvTZo0wZAhQwAAgYGBqF27NtavX4/KlStDpVKhQYMGOUqXAf1HlpKSotzM9+/fDxcX\nF+zatQteXl7o1KkTLl68CAAYP3482rdvDwA4efIkTE1N8ddffwEAdHV1MXr0aNjb28PU1BT29vY5\nulm/S13h7Nu3D1ZWVgDSemn9/f3h4uKCzZs3w9XVFSNGjFAaPnk1btw4eHp6IiEhAV9//TU6dOiA\no0ePAgC6deuGYcOGZSjbh8p97949GBsbKxVP6dKlsWvXLjx//hzNmzdHly5dEB4enqPyqS+4/nWC\ncQAAIABJREFUHj16oEePHgDSRgpr1KgBIG1kqnPnzli+fHmO0tWE+vXrY8WKFQAAT09PBAQEAADu\n3r2LoUOHKsfhQ43G9KPc6t90x44dqFKlCvr06QNtbW38/vvvSElJQXJyMiwsLJQbYU5ER0fDwsJC\nCY4SEhKUhuDOnTsRGBiIP//8E1WqVMHQoUMzlC0r6UdtK1SogCNHjuDJkyfQ1dXFV199hRIlSsDE\nxATVq1fX6AyWEiVKICwsDEBa59GMGTMApI1iNW/eHOvXr89Reup9DA4Oxrhx4zJ9HxMTg40bN8Lf\n3z9P5U5ISEDZsmUzBKFRUVFYvHgxunTpAktLS6xcuTJPeWTXvXv34OTkhI0bN/5rUKQ+d0NDQ1Gu\nXDkAacfayMhIabBu2bIF7u7uGmtw5Ec9qE5zwYIF8PDwAAAcPnwYzZs3Vzomxo8fj169emlkH9QS\nExNhbW2tjNxVr15dqTN++ukn9OvXL1cj9Orf5cyZMyhbtiymTp2K8PBwqFQqmJiYoFixYujYsSOm\nTJmisYAsNTUVQ4cORa1atbB//36NpPk+Dg4OmDx5coa8gbTOo27duin356zKCKR13OzYsQOnT5/G\nnj17sGPHDpw9exbu7u5QqVSYP3++Rsur/j2qVq2KoKCgDJ9fv34dXl5esLW1haenJ5o1a4YbN258\nMD11/Tp//nxUq1YNKSkpuHPnDgwMDBAUFIQqVaqgZMmScHV1xfPnz3Nd7vSzACpVqoRu3bph2bJl\nUKlU0NHRQdmyZTFixAisWbMmR7O3PiT9DLc+ffq8t2NOU4Mj70pNTcXt27dRqVIlVKxYEebm5hg9\nejRevnwJAPDx8UHnzp0/mIb69/Hy8kKvXr3w/Plz+Pn5oVq1aujevTt0dHSgo6Pzr+lkVbYPiY6O\nRteuXbF48eIMo7t5FR4ejiVLlmSrDLml/t3Xr1+P6tWrA0ib3TB06FC4uLhg//79aNCgAb777rs8\nleHp06do0KAB7OzsUKNGDXh7e8Pe3j7Hnf1A2u/85MkTHDhwAF999RVKlSoFHR2dXLU1sqLeT09P\nT3z11VcAMrYFL1y4gJ49e763vvsU1GXu27evEgSPHTsWXl5eANLaF/Xq1UP9+vXh7OyMOnXqwNPT\nEyEhIbnK7+3bt8q5PmfOHLRt2xYBAQHw9/eHl5cXypQpg2rVqqFLly7YunVrjtOPj4+HtbW1MkBo\nZ2endOwvW7YMXbp0yfGsWAb0n1B0dDQ8PT1hYGAAJycn5cdLTExEpUqVlB938ODBSlC5bNky1KxZ\nE0DatPUaNWrkudGvtmfPHtSpUwc3btzA7Nmz0ahRI2WkfOnSpahfv75G8gGAy5cvo0aNGqhTp44S\nPKor3ooVKyoXYXZuHps3b0azZs0AAIcOHULlypWVYG7Tpk3o169frm9ClStXxrZt2wCkNfbUgRyQ\n1vHw7bff5irdnFL38sfGxmLJkiXYu3cvEhMT0ahRI8ycOROpqalITk6Gubk5Tp8+na00350yHh0d\njQkTJuDLL79UKqh//vkHy5cvV4KqnEpKSkKnTp3Qrl27TN/duHEDZmZmSE5Oxty5c+Hs7PyvQbj6\nHGnZsiVGjBgBAAgICFB6MlesWIHKlStr7JoAgMjISDg5OeHBgweIjo6GoaGhEgxFR0fDysoK586d\nA5CzRklycjLmzJmD5s2bKyP075PThoZ6+xs3bqB///5KZ+C7zp07h9evX+co7ZxQ915v2bIFnp6e\nKFasGHR1ddG5c2ds27YNDx48+GAPd1BQEDw9PQEAEyZMQMOGDZXvNmzYoDTQNCk/6sFTp06hTJky\naN++PaysrDBy5EjlXPf29oaPjw+A7NV32fHnn3/Cy8sL586dQ1RUFCpXrqyMQF2/fh1OTk54+vRp\njtNVl693797o3bs3gLSGsnpW0KhRo6BSqXJdX7zP69evMXLkSGhra2P69OnKOavJkfqUlBRldsy7\nkpOT4ejoiMOHD7/37x8+fIjSpUujZs2aKFasGFxdXWFra4sSJUqgcePGcHFxgUqlQq9evfDixQuN\nlfvFixcoX748QkNDM3135MgRdOnSBTt27ICVlZXSjngfdb3RoEEDzJo1C0DajLCuXbsCSBtVdnFx\nwaJFi/JUZvV5NG7cOKWj6+TJk6hYsSKioqLg7e0NlUoFfX19jQfYjRs3RpEiRdC+fXucOHFCCajz\nw19//YVz585lmLFy6dIlTJgwAVOmTFGOw6lTp2BlZaV0Gn9IQkICTE1NlWDLzs4OK1euREJCAjp1\n6oSmTZvi4MGDuSpvv379MHv27CwfJxs/frwyeJAXqampWdZzmuwoUEtfP6xduxbOzs44efIkRo0a\nhRYtWijHOyAgAK1atcpzfteuXcO2bdvg7++PZs2aoWTJkihbtiwCAgJy/dhQUlIS7t69q7RzNXnP\nmzlzJuzt7bO8xurUqZOrQDU/paamYu3atVi6dCmAtPPVz89PqU/r16+PJUuW4ObNm5g/fz7c3d1z\nPf1eXRfeunULOjo6GR5/TEpKws6dO1G2bFlUrlwZv/32W47TP3/+PBo2bIhTp07h9u3bsLGxUa7p\ny5cv44svvshxpykD+o/Ix8cH48aNyzQycvPmTWXU6dmzZxgzZgzs7OyU73v06IHp06cDADp27Ijx\n48cDSDvh+vXrh127dmmkfM+fP0fNmjWVZ2h++uknpZJt2rQpRo4cqZF8gLQLYvfu3Vi4cKHyXFZc\nXBx++uknlC1bNkdpXblyBdOmTcOTJ0+we/duuLm5KY3Vr7/+Gi1atMhVGf/55x94e3tj+fLlSE5O\nhpGREW7fvo23b98iNjYWJUqUwMmTJ3OVdk682+B4+fKlMirp7+8Pe3t7bN68GT169MBnn32WrTSv\nXr2qrDMQHByc6TkpdU/txo0b4e7unqeRpdDQUBgZGaFmzZqYO3cuHjx4gMOHD8PDw0OZYrhx40Zl\nGtW/SU5ORrNmzZRR/y+++AILFiwAAOWRi7w8e54Vd3d3TJo0CRMnTswwDWr16tU5Pl/VQkNDlWlt\nHTp0wNatW3Hjxg2NzIJR34wmT56MChUqwMfHB/fv3/8oz6dmxdLSEn379sXhw4exfv16NGjQANra\n2ihfvjz69u373g6H69evo2LFirh27RqqVauGzZs3A0jr9NR0naT29OlT1KhRQ+P14Nq1a+Ht7Q1f\nX1+lE+PSpUuwsLDAqVOnAGg2QD19+jRu3bqF6OhouLi4KCO4U6ZMQZUqVfKUtqOjo/JbNGjQAFOm\nTAGQNnI/bNgwPHr0CEDOG+nq/Y+MjMSvv/6Kw4cPIyIiArt27cKZM2fQp08f6OrqYubMmXkq//uE\nh4ejVKlS8PLywqZNm3Dv3j0kJSVh3rx50NfX/9dyHzlyBI8fP0Z8fDwuXbqEmJgYvH37Vhml++OP\nP+Dg4ICNGzdqrMzx8fHo1q0bXF1dcefOnQydf3/99RcsLS0BpHWAubi4/Gun6evXr9G2bVtlarWr\nqyvWrVsHIO0e3aZNG408fgekzXZavHgxAKBdu3YYNGgQgLTj1KdPn/fWC7mVnJyMoKAgtG7dGmZm\nZnB0dMTQoUPx888/IzIyUuOdB82aNUOdOnUwfvx4bN26NctZMY8ePcLYsWOVGZnvk34GkbOzM968\neYO//voLVlZWysyLXbt2wdvbO1fPPb948QItW7aEk5MTbG1t0blzZ2zYsAHx8fH4888/YWFhoVzz\nmpKamppl55Ym60H1IzrPnz9H/fr1UatWLZQoUQK7du1SjmmtWrWUDixNiI+Px/nz57Fq1Sr4+PjA\n1dUVlSpVQosWLTBv3rwPBmpJSUnYs2ePMnKbXlxcnMYeJwTSAkcrKys4ODhg0aJFiIqKQkpKChYs\nWIBixYrla2d/bqWkpChreXz77bcwNjZGhQoVYGBggGLFiuWqozor6nNj1apVqFKlijJTKP0AxMiR\nIzFt2rRcd0Zdu3YN9+/fx8OHD+Hg4ICpU6ciMTERU6dORdWqVXOcHgP6jyQhIQFffvklPv/8c+W5\npxUrVmS6sO/du4fJkycro/PJycm4cOGCMh3dx8cHHTp0wLNnz/DixQuYmJhoZAGI9EJCQvDrr78C\nSDupN23aBEtLS9y8eVOj+bw7JfPw4cPo06cP5s6dCyB3PbZ///03LCws4Obmhr59+6Js2bK5nnID\nANOmTUOVKlXQvHlzuLq6AkgLJiZPnoyKFSvmOt3sunbtGpydnTF27FgcPHgw03OLFy9eRL169aBS\nqeDp6al07vzbcz0vXrzA5s2b4ePjAysrK2hpaaF9+/aZjlVSUhKOHTuW54VRzpw5Ax8fH1SrVg06\nOjrQ09NDp06dlJtWgwYNsh0ovXr1CqtWrcJvv/2G+Ph4NGvWTGng3717FwYGBhp7jjAlJQWJiYk4\ncOAAmjZtCkNDQwwYMACnTp3CnDlz4OTkpHS25eRZKvXN4ty5c5g0aRLs7OxgbW2Npk2bYvr06diz\nZ0+en5lLSEhA586dUb58eRgZGaFNmzaYP38+jh8/nqfpsjl169Yt1KpVK9P1/vDhQwQFBcHc3FxZ\nNEx9XNT/GxcXB19fX1hbW0NHRwdLly7FlStX0K9fP1SpUiVX0xmzK6/1oHof0i/6lP76jYqKUkaK\nNCmr2Rzjxo2DhYUFTE1NUbFixVw9s69O98WLF/j2228RFhaGN2/ewMXFBWvXrgWQdg2ULVsWly9f\nznX54+PjYWhoiNq1a8PExASfffYZXF1dYWpqCltbW9SpUwd6enro2LGjxhpv6e3evVsJxBwdHaGn\npwdbW9tsdyKkL1P630J9Pxs0aBA+//xzjZb5xIkTsLGxgaurK5YuXYpTp05h+fLlaNasmdJpum7d\nun+9Z6Wvly5duoSEhAS0bt0aPj4+iI6OxunTp6Gjo5On+4E6WIuJicHw4cPx22+/ISUlJcN5BAA1\na9bUyHPN73PlyhWMHz8eNWvWxGeffYbatWtj9uzZGs3jt99+w+DBg1G9enU4ODigffv2mDFjBg4d\nOqR0eiUnJ+PSpUu4fft2ttK8c+cOgoKCcPPmTRw7dgwuLi7K6G9wcDCcnJxyVEb1eZmSkoLY2Fjs\n378fU6dORdu2bWFrawsDAwOYmJhoZARbndedO3cwZswYNG3aFD169EBgYCD27dunsccrgLTZrBcu\nXMjw2c2bN7F06VJlFmNCQgI2bNgAS0tLjeSdVUfEs2fPcOTIEcybNw89e/ZEqVKlMj0/rz4uR48e\nRcuWLZV1gapUqYJBgwbh9OnT+dYZf+nSJfTo0QO1a9dGuXLloKenBxsbGwQGBuZLfnlx+/Zt5boB\n0jobS5YsCTMzM4iIMtvn2LFjGlvI+88//8Rnn32GOXPmZPpu7NixGntcbty4cbCzs4OlpSWsra2V\nTtScYED/EUVHR+P8+fNYtmwZWrZsCZVKBUtLS3Tq1Ak7d+5874mXmpqq9JTt2LEDFStWRLdu3WBv\nb68sqpdf7t69ixEjRigrS+eWujJ69uwZ5syZA2dnZ9SrVw/e3t7KvqWkpODGjRvK87U5uRDTB/9H\njx5Fly5d4ObmluVFmFMTJ06EtbU1HB0d0b59e9ja2uKLL77I8+Iw2XH8+HF06tQJjRs3hrOzM1q3\nbo3p06crU7zVYmNjc/zMuPo32bNnD6pXr66MFuvp6aFv374aG4VR98AnJSXh2rVriIiIwOnTp5WR\n6K1bt6JJkyYfnHZ+8uTJTJ0Z6vNm1KhRMDY2xtixY5UVSfNKHZz/8ssvmDdvHmJiYrB06VLlpmdr\nawsjIyMsW7YsV+drVnbv3g1vb29UrlwZBgYG2Zp+mR3//PMP1qxZA09PT2Ul/f79+2P16tX59twi\n8P/X5OXLl9G3b98spwRnRV0mdQPrn3/+wYwZM9CoUSPY2NigaNGiqF+/fq6nlX4oz5UrV2Z53HNb\nD8bFxaFy5coYOXKkMnqrPrceP36MXbt2KY9a5bXBpj7eoaGhCAwMzLBCcmxsLDZu3Ii5c+ciLCws\nz9Nbb968qQQgvXv3RqtWrXD27Fn4+fnB2to6T2kDadMRIyIi8OrVK9y5c0cZ2bx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BAAAg\nAElEQVTZ2VkjldKdO3cwc+ZM2NnZoUiRIqhfvz6mTZuW53SzIyQkBCNHjkTz5s3h7OyMRo0aYeTI\nkdizZ0+m4F09eyOnnRiHDh2CSqXCpEmTcOvWLeXvY2NjUaFChVwtKPj27VuMGzcOq1evzvL7a9eu\nKQ2r7DRk1A2VyMhItG3bFmPHjsWlS5ewePFidOzYEcWLF4eNjQ08PDzydK6+KyAgAGXLloVKpULd\nunWxatWqPAX26R87UY+Cbd68GTVr1sSdO3fQs2dPmJqaKo+h5IWFhQWCg4MBpE3B9vDwQI0aNWBs\nbAx7e/tcLbiSG6mpqbh16xYOHjyYqcG5cuVK5RxJSUlRrvvjx4/D0NAQQNr5aWJikuFGWqJECWVm\njybL+T4+Pj7o2rVrtnvk1b/z/fv3M3S8vn37Vsnnxx9/zNWrbrKSvuzHjx+HmZmZMuKXvi7t1atX\nhjo3tyIjI/HTTz/Bx8cH9erVg5OTE9q3b48JEybk+XVsNjY2+O6775CcnAwvLy+0atUKrVu3Vhrf\nmlyJWm3hwoVKgPHuefDw4cN/HZ28fPkyHBwccPv2bcyYMQONGzdWvlu3bp1G1hRIT13GDh06KG+8\nAdI6isLDwxEUFAQXFxel8zy7xowZowR2JUuWRM+ePRESEoKbN2/i77//homJibI4b168ffsW8fHx\n+P333xEYGKjMNHN3d8fAgQOxatUqja02rz7/v//+e2VxwF27dilvg0lJSYGbmxu+/vrrfHnESV2G\nZs2aoVWrVpk6SSZOnJhphty71J1lY8aMQf/+/TF37lxcvHgRy5Ytg7OzM7S1tWFvb4+xY8fmqnxX\nr15F586dcebMGXTt2hW6urowMDBAmzZt8OWXX8LIyEijCyI/efJEeVR01qxZsLe3R3h4OI4fPw5T\nU1McOXIkz3mor5H9+/fD1NQ003GPi4tDr169EBgYqNHHt9zd3fHzzz8DSBslVncC37t3Dz179vzX\ngDA2Nhapqam4ePEi9PT0MGzYMMybNw8lS5bU2Cvk1q1bp7zy91137tzBkiVLNJKPpvn6+irxg9rP\nP/+MUqVKQUTQuHFjVK1aFRUrVlTaPrmhvn+3b98eTk5O6NOnD4YNG4Z69eqhUqVKyhuPctthsGDB\nAixcuBBA1u2OdxdyzAkG9J/AxIkT4ejoiKCgIJw5cwa3bt1CWFgYqlSpoqyYffnyZfT7P/bePJyq\n7g8b/x5NMkTGUOZ5HkOSMUSKIlESleaBEvWUCo2aRNKoQaU5TZrrkWjU8GhSSkUiQ8jMuX9/uPZ6\nz3Eoztme9/1d13P/l1h77b3XXusz3ndgIEfpZF1dHfLy8ojuKK9ISUmBs7Mzfv36hfPnz8PIyIhk\nI1JSUhAUFMTzNVjh4+MDExMT9OnTh0SsT506BUNDQxL970r2sLi4GMOGDetwY3rz5g1ERER4KpFt\naWlh+9h+/foFLy8vDBw4sNOsYk/hw4cP2L9/P4KDg2FjYwNTU1O4ubkhKiqKyF0B3JeE79y5Ezo6\nOvD29kZkZCSWLFkCR0fHbvenUhvh3bt34eDggKFDh+Lly5e0Ze98fX0xceJEjv+npOPoYhtlRW1t\nLS5dugQPDw/0798fAwcOREBAAM6dO8d1lltPT48ESqysrLBmzRoAbSXL3t7ehLOgu9k81gi8iooK\ngLa+VVFRUZSXl6Ouro60PdClAtARqPeVm5uLgIAADBkyBMrKyhAXF4ePj0+HHCEtLS3keTo6OrK9\n5zlz5sDExAStra3IysqCgIAA7XM9evQotmzZghcvXnAEmU6ePEnktLoDFRUVqKioYOPGjXj9+jXb\ndxAREQF3d3cA9LZyNDQ0EHbq1NRUVFRU4MuXL4iLi4OsrCxXfBjUumqfDW9paUF2dja2bt0KLy8v\nWFpacuUUUff/6NEjSEpKoqmpCU1NTRAVFcWTJ09QXFwMS0tLBAYGEn4MXkn9qGtWVlZi9erVsLS0\nZNOJbm1t7db3N3nyZNja2kJUVJT0y966dYv0SAL0cgowmUwcO3asQ9LXpqYmfPr0iXzjv3tWDx48\nIMHgN2/e4Pbt2wDaAk4GBgZgMBhQUFCAqakpzM3NeZozdf/R0dGktBhoO8up4LWTkxO0tbVpVy+I\niIgghJaLFi1CYGAgWQMhISFITEyk9XrtcevWLSgpKYGfnx/jxo1DUlISxo8fD2lp6S47aqKiorh1\n6xbbz2pqauDm5gYlJSVER0d3e16drY3U1FQ4OTnBxcWFZ/LfJUuWoLKykm2fo9ZCbm4ujI2NYWho\nCHl5ebi4uPB0rfbIyMiAsrJyh8HTvXv3Yty4cbRdq6qqCsuXL8e+ffvQ3NwMW1tbUuFYW1sLJSWl\nbrXeJCUlQU1NDYMGDUJkZCQtc6SqPExMTGgJnPQUOtp/37x5AyMjI2hpaWH27Nk4dOgQQkJCoKGh\nAR8fHwQFBSE+Pp6W9qaGhgaIiYkRDp36+nrk5ORg7969mDlzJuTl5btVrUR9Z5mZmbC3t4euri4b\naS2TyeT5TAP+c+j/VbCWf82cOROioqIYPHgwzMzMwM/PD29vb1Jiw2QyMWbMmB4vLa2qqsLNmzdR\nW1uLK1euQFNTkxwavGZ0MjIyOAjbysvLMX36dMjLy6N///7Q19fHoEGDEBoa2m1jMC4uDmpqajh4\n8CBKSkrQ2NiIkpISREZGQltbu1tjsRLntDe8WDWG//rrr3+lv2j79u0cnAlMJhOPHz/G1q1b4efn\nBysrKxgZGSEgIICnazU2NuL06dPw8vKCmZkZrK2t4e/vjydPnnA1XmxsLGRlZcHPzw8rKyts2LCB\nTaaHW4wePRoBAQHk/VAOUllZGfz9/Wnrh2MF6yZLsZCamZlBXFycq/HKysoQHh6O9PR0IvlF9YU1\nNTVBVVWVK5JDVkRGRsLX1xdAW4m0vb09yXitWrWKRId7CqyMvZ6enkhKSkJ6ejoSEhJgbW0NR0fH\n31bPzJ49my2TUV5eThzU6dOnw8PDg/Y5e3h4QEtLC46OjliwYAGOHj2Kjx8/4ufPn5g4cSKpnOoq\nGhoa8Pz5c4SGhkJGRgZ9+/aFvb09tm3bhlmzZkFMTIy8d14O8iNHjnDsR4WFhfDx8YGAgAAEBASg\noqKCIUOG8KzdPmHCBERGRnaY0aqsrCSZBW7Lynft2gU/Pz8AbcFkExMTUuGwa9cu2noiWXHhwgWS\n/be3t8fp06e5yth9//4dkyZNgoyMDERFRWFtbY1BgwZh6tSppGqBjsAN9WzPnj0LGRkZ6OjodNib\n3RVQ2uL+/v5ISkrCx48fSUk8ha9fv2LdunXYvn07bVlab2/vTp3Pt2/fEulVOtDS0oKWlhYUFBTg\n3r17AICoqCiYm5uTlg0FBQUcO3aMtmtSaP++q6ursWPHDjg6OmLw4MFwdnbucgXc27dvMXjwYKIU\nwuoA3L17F4sXL+a6quHnz5+orKzE27dvOSrQmpubeWoT+fLlC4YPHw4ARF+7/TWeP3+O6OhopKWl\n0S6nWltbi9GjR8PAwABHjhwhbR2lpaWdJoR4BStpm7y8PE6cOIGwsLDfkg4WFhbi/PnzWLlyJQ4c\nOED29NraWlRVVdHi7AFtDiW13+nr62PXrl3Izc2llRSQDmzYsIEEYajkWktLC54+fYrp06dDW1sb\nQkJCEBcXx8GDB2mbP7XWP378iPnz53fI6VVRUYG7d+9ydc0TJ05AWVkZvXr1gpaWFjZu3Ngljpau\n4j+H/v8iGhsbkZKSgoSEBDx8+JBk4z99+oQFCxZASUkJQkJCCAwMRGZmZo/pUFKOUXV1NWxtbWFv\nb08c7d8x7v8O9fX1MDQ0hKurK1auXIkrV66wOXT379/H3r17ERkZyXXp6ffv3xEQEAA+Pj7Iy8vD\ny8sLioqKMDQ07DYbKHX4Llq0CAwGA8HBwRzlURkZGTz1t3QVP378gJWVFSkTozZdVtTU1ODWrVtY\nsmQJCfp0ZdNnNTIKCgrw8uVLts2krKyMNn6GtLQ0eHt7Q15eHurq6pg8eTJiY2O7bTBTc05NTYWM\njAxHq8mvX78gKipKK/HUhw8fsHnzZg71BAoU9wM3B+23b9/w/ft3tLa2YsKECXB1dcWNGzewdOlS\nWspznz9/jtTUVDCZTKxfvx4ODg6Em8LFxQURERE8X6MzsAYt+/Xrx+YENDY2IicnBzIyMggNDSX7\n2datWwmhGCuam5vJ3rRz504YGRmBwWDwzIBMzQ/4Pwd4Y2MjLl++jDlz5sDS0hLGxsawtraGmJgY\nNDQ0OGQiOwO1HiIiInDgwAEAbc79lStX4OPjAykpKZiamvJUEkjh9evXxFhubm7GuXPn2Azid+/e\nITU1FXFxcRxs/V0FaxuEjIwMaceqrq6Gl5cXHB0d2YiKeMHDhw+xadMm1NbW4uDBg7CxsSHv39fX\nl1SL0X0OVlRUEOlMijNl3rx5uH37dqdOErXOX7x4QRz2nz9/4saNG4iNjcW8efNw7NixHpN+Sk1N\nhYeHB+Tl5SEhIQFfX1+cOXOmy0FxSoEhNjYWjo6OkJGRgb6+PubOnYujR4/ixYsXtBr51HOoq6tD\nQkICGy8PVZFB97XaG8mUk/T8+XNoaWnBxcUFGhoa0NHRoe3a7VFTU4OnT5/i9u3bHGRo3UkMtLa2\nwt3dHUZGRhzB0OPHj0NWVrZb86L2qaysLPj6+qJfv37Q1dVFQEAAEhISkJ2dTUspenNzMymRzs7O\nhpCQEAYMGAArKyvs37//XyEZ/vDhA8aMGQMtLS04Oztj5MiREBcXh5mZWY/2iufl5WHs2LGQkJCA\nsbExKcWnQK35+/fvE84Qe3t7yMvLQ1xcHMuXL+8xzqabN29i1KhR6N27N8TExODv74/jx493icPq\n38C4ceOIXxATE4OUlBTCS+Lg4AA5OTno6+tjwIAB6N+/Pzw9PWlpYaP2DsoWY+WB4gYVFRUdVgo/\nefIEc+fOhbS0NPr27QsXFxckJibyvOf+59D3MCjjo7KyEseOHcOoUaPg4+PTocNJbbIBAQHQ1NTE\n+vXrCQkRHx8fVFVVsWzZsh6VTLt37x5mz56NxYsXd5lUpyM0NDQgMTERU6ZMgYmJCczMzODj44NN\nmzbh4cOHPLPQs6K4uBgbNmzAuHHjsHnzZrx+/ZprQ+rdu3fYtGkTLCwswMfHB0VFRURERGD16tXQ\n0tL6V6S+mpubSWnps2fPoKKiAmtra0ydOhWHDh3i2HQpw6Ur90ytsa1bt8LY2BgMBgMiIiLw8vJC\nWloaTxsKdf32Tm5FRQUSExNha2sLWVlZrt99WVkZvL29wWAw4Obmhv3792Pr1q2wsrIi/Au8gDXj\nYWlpCXFxcYwaNQpOTk7k3dMV7KCe1cmTJ6GlpQUFBQUYGBiQ3nBuIrbUmE1NTcR4fPr0KZSVlTF/\n/nx4eHhg4MCBXPd+dQdXr16Fvr5+h8zRe/bsgaWlJTFopk+fTrJyMTExHZag/vjxA0ZGRpCTk6Nl\nfiNHjiQBu/bfU2lpKVJSUrBmzRokJCR02ZlnhaysLO7evdvh/7U37LlFRUUFuYerV69CXl4eo0aN\nQnh4ODIyMmjJ6lBjTJo0iWTP8/LyEBgYCD09Pbi7u0NSUpL2M+mff/5Bv3794ODgAH9/f4iLi5Pg\nck8FtoG2QE9sbCwJHnVU9cMatLK1tWWTwfqdVj0veP/+PYcD+PnzZ1y7dg3R0dFwc3ODhoYGjI2N\nMXnyZLY+067g3bt3iIyMhKGhIeTk5DBixAj89ddfuHDhAvLy8mgjbdy/fz8EBAQgIyPDYV8wmUza\n+tirqqqgo6OD0NBQjnfY0tKCs2fPkgAza6sFHaDWQE5ODmxsbCAoKAgzMzPY2dlhyZIluHr1KldV\nfu/evYO5uTl0dXURGBiIpKQkrFixAgoKCmwM392Bvr4+fH19kZ+fDw0NDcjIyEBAQAD6+voICAjg\nKPHnBQ0NDXj9+jVSUlLg4+ODQYMGYcCAAfDw8OgRJRlWNDc3Iy0tDXPmzEFYWBhtFSeswaP8/Hx8\n+fIFHz58IFn6kpISvHv3DlVVVZ3e2/DhwzF58mR8+PAB379/R05ODtatWwdNTU3aW0Haz6GpqQm7\ndu0iTPy8aqrTjebmZlhYWOB///sfFBQU4OXlBWFhYdy7dw/fvn3D+/fvsXfvXtjb2xOiXV6/57q6\nOgQEBGDo0KEQFRWFg4MDYmJiuEoYeXh4kOBlSUkJiouL2c6IxsZGXLx4EePGjQODweBZSec/h76H\nQRnmoaGhRKpo5MiREBAQgKioKAIDA5GVlcX2Nzo6OqQ8DGhbYDk5OVi5ciUGDBjAM+Mo0GYU3bhx\nAxMmTMCcOXOQnp7OFg2kq8QHaDuItm7dSkqfLC0tERQUhKSkJDx9+pQr7fm9e/di7dq1HBUE3XFu\ngTapkI4+1Orqajx48AARERHQ19eHlJQUVqxYwfMH1x0wmUxUVVXhxIkTCA8PJ+R4tra2WLRoEc6d\nO8eVYdDQ0ABBQUGsWLECWVlZSE5Ohq2tLXr37g1FRUVMnTqVo9y/q3j37h02b94MV1dXBAQEcBhT\nVHkoLwbihQsX4O7uDmFhYairq2Pu3Lk8sY9SoNa8vb09goKCyPfw6tUrop6wcOHCbhsdrL9fXFzM\n4eS+f/8ex44dQ1FREU/KDAA4ODeqq6uxbt06mJiYYPz48Tz3Q/4OrHtGYWEhlJSUMGXKFBQXF7Nl\n4JYsWUI0Y1tbW/H9+3dSUufs7AxhYWHIyMhg1qxZHM50e5lCblBVVYWYmBgAbQfq8OHDERQUhGPH\njnE4Qt1Zp6x6wn5+fmyVBK2trT2qLFBQUID4+HhMnz4dw4cPh4mJCcaOHYuNGzdy3TrDCldXV8TG\nxgJoq2KiSLQAwMbGhmuSRer5vnr1iiOwcvPmTSJVefjwYR5m3zk+f/6MkpISFBYWcsh+UdUI7cGq\nPe/o6Eiy+JcvX4ampibU1NRw6tQpWuc5evRo0ovP2nsJtH13r1+/xokTJwgrc1eCptQ3137P+fvv\nvxEcHAxVVVWoqqrC0tKy02fRXVy6dAnz58+HsbExBgwYAAsLC8TExHRbAqozUPdy9OhRIntpZGQE\nc3NzrFq1isPYp9POaT+ms7MzvL29kZaWhuTkZMyaNQs2NjYYOnQo7O3tsX379i7dS1NTE/lOXr58\niZUrV8Ld3R1qamqQlZXFjh07uiVZx6q2IikpSWwIqmf44cOHEBMTg7i4OM991tS1mpubUVxcTNZl\neXk5Hj16hLi4OLi4uIDBYNByNrEG1nJychAZGYnU1FQ2u43OoAF1f1FRUVBSUgKDwYCuri7mzp2L\n06dP4/Pnz2R/oK5bWlqKe/fuoaqqCq2trbCwsODwAQBgwYIFMDAw4LmKgPV+v3z5goKCAsJNwoqi\noqL/a+o3rGhtbSX2AkVyXFJSglWrVhECPENDQ8TExBC779evX3j27FmHnCLcgMlk4uXLl4iPj8ek\nSZNgaWkJc3NzeHl5dat3Pi8vj3CZWFlZwcDAAPHx8Xj+/DkHrwQdMsL/OfT/EkRFRZGeno76+nrU\n1dXh1atX2LJlCywtLcFgMEgZbHV1NaKjoztlca6srOQpi0odNvv27YOUlBQcHBwwbNgw9O3bF4MG\nDcKcOXOQnZ3NUylUeXk5tm7disePH3OU0mVnZ+Ovv/6CnZ0dTE1NYWho2CVSGGrjfPHiBVRUVCAv\nLw8LCwuIiYlBW1uba9ZJJycncv3k5GRkZWV1mCVobGzs0cwQKzo7cD58+ICDBw9i1qxZcHR0hIKC\nAo4fP97t8dPS0mBhYcHxc4rRX1FRsVuOE/VccnNzia5pUFAQLC0t0atXL5iamnLoDXcXTCYTX758\n4WDRpkNOjhX19fWQlpZmIxuksGPHDpiamnZbr5iVaXn48OEQFxeHiooK/vrrL1rJ6b5//w4GgwE7\nO7sOy33p7k/sDNT9njx5Eurq6hg/fjwOHDiAkydPYtGiRVBRUSEVSqwGdXNzMz5+/EjYr01NTSEg\nIAANDQ2sWrWK6yDT71BcXIwZM2Zg1KhRMDU1hYODAxYvXoxr1651ew+k7nvHjh3Q0tKCn59fh7wR\ndBmUHY3T3NyMhw8fIjY2FhMmTMDw4cOhrKzMM7/E9u3bISQkBE9PTwgJCeHq1atobW1FQ0MDxMXF\niXPPzb3V1dVBW1sbU6ZMwYEDB/D06VNajJs/Ydu2bVBTU0OvXr1gaWmJkJAQXLx4Efn5+V0KlCoo\nKJCz4/Llyxg6dCjmzp0LHx8fWFtb03oPrM/EyMgI/fv3R1BQEEcgs6amhhjBvK6zlpYWnDhxAp6e\nnrSxzgNtxndeXh4OHTqE6dOnw9TUFBoaGjA3N6ftG8/JyYGVlRVUVVWxcuVKzJs3DyYmJlBWVsbI\nkSMRHx/fo+XFLS0tGDZsGAdp7fPnz5GQkABXV9c/qidQ+0lERAT27NnDxq3y/ft3rhUlqHWxatUq\nwkeSnJwMQ0ND1NfXo6WlBXPnziX9+ryAchB3796NefPmcTB4t7S0oKysDHfu3KGl7YK6Xnx8PJSV\nlSEvL0/Ksl1dXXH8+HGUlJTQsgdTYxQWFqJ3797Yu3cvXrx4gdWrV0NPTw8SEhKwtrbGwoUL2WyG\niIgIyMnJYebMmThy5AgCAwOxdetWjvFfv34NISEhnrmHKCQkJEBZWRmioqIwNTXFtGnTsHv3bjx+\n/JhWng86QM1DX1+fLZi7fv16GBkZwdfXFwwGA66urj1ul9fU1ODGjRuIioqCra0t11wut27dwvjx\n49GvXz8ICwvD09MTR48eRV5eHm3tTf859D0IalH++vULixcv5oisA21RmYyMDBKF8/LyAoPBgLa2\nNp48eUJrbxnrnMzNzbFp0yYif5afn4+NGzeSUkOKVIsbHDlyBLKyshg5ciTmz5+PQ4cOcdw71bMa\nEBBAyjV/t5lQH62/vz98fX3x6dMnvHr1CqdPn8acOXOgq6v7R53P36GhoQGqqqpgMBgwNjbG5s2b\nkZeX1yMR/D+ButebN29i/vz5yMjI4Ni0nj59is2bNxMnrSsbMfU7Hz9+xLx588hzb25u5mkjpw5R\nX19feHt7o6ysDEwmEzU1Nfj7778xfPhwroj7qDnduHED9vb2cHZ2ZnO4ekJm6Nu3bxg2bFiHvVOv\nX7+GiIhItw5Y1mcuKCiI8PBwpKamIiwsDCoqKmAwGDAzM0NsbCzP0fHS0lLs2LEDEyZMgKSkJERF\nReHj49MjZIHtERwcjH379nH8/NSpU7CxsYGEhAR0dXWhra3N9nsGBgZYtmwZRxaipqYGeXl5OH/+\nPBYsWAApKSnY2trSMldWBl0qcPX+/XscOHAA06dPx4gRI2BhYQE7OzuiE99VtLS0YMyYMZCSkgI/\nPz/GjBmDPXv24MmTJz3ipBYUFHTa61pZWYnLly8jMjKS515VJpOJmJgYzJo1i8ga1dXVYdu2bURR\ngVvU19cjOjoaNjY2kJWVxdChQ7FgwQKcO3cO7969o9WZpPbzK1euYPDgwdi/fz8ePHgABoMBGRkZ\n9O7dG66urli2bNlvjayioiIYGBiQwJmDgwOWLFmC6upq5OfnQ11dnSf5oc7Q3NyMmzdvIiYmBpaW\nlhAUFISKigqWL1/OdSvN58+fER4ejuXLl2Pnzp24efMm10R7f8KvX7/Q0NBAxq+oqMD9+/exefNm\n2tvZPn/+jIkTJ2LChAnIzs5GXl4eEhIS4OPjAyMjI4iKinIly/o7sGpYT5s2rVOyvdra2i59k/X1\n9aT9T1paGoGBgbh48SJKSko4pGu7izNnzpAqgWXLlsHb25u0lAUGBtJKGKeoqIjt27eTM5s668rK\nynok0CwvL4/Y2FgUFRWhpqYGp0+fxqhRoyAkJAQ+Pj6iZ04Hjh8/zqbaQOHhw4eYOXMmhgwZwtaq\n9/nzZ0LMqKCgQMjddu7cSbhO6urqEBMTAxMTE57mRq3Hx48fQ0pKCnv27EFubi4YDAZ0dHTQu3dv\nWFtbY9q0af9q9WlX8PXrV+jq6qKwsBDNzc3IycmBqKgo+vfvDzMzM5w6dYq2fYqy01pbW/Hp0yek\npqZi165dHImtr1+/0nLNI0eOkGTuoEGDMHPmTFoCE/859D0IynhYs2YN9PX1idYthY5eYFZWFsLC\nwiAnJ4d+/frB1dUVx44dQ3FxMW3Rs5aWFkRERODy5csd/l92dnaHGcrujJ+eno6QkBAMGzYMRkZG\nxEg6d+4cT1nVkJAQjkOyqqoKL168QEJCAiGi6socgbasMqtjmJ2djRkzZkBCQgL9+vWDs7Mzjhw5\nQnsmuCuIiYmBvr4+LC0t4enpic2bN3OQ43UXJSUlhOU0MjKSw1jmJYChrKzMRvxCrdeUlBSoqal1\ni2CR+tsvX75AVVUV06ZNQ3x8PAQEBGBgYIAhQ4bAyckJISEhtEscsaonlJaWorGxEaWlpVi5ciXp\n1e/u5puYmMjGzt7Y2IjCwkJcvHgR/v7+kJSUpIUgiMlk4sePH0SPmgrQiYiI/DEjxC3q6+sxevRo\niIiIoF+/fhg7diyHPNqPHz/w+PFjNieptLQUgYGBJBhnZmaGxMREDp6CiooKPHnyhGQe6cKnT59g\naGjIoRX/5MkTbN++HU5OTlwTvpWXl2Pnzp0YMWIEZGVlYWJignnz5iElJYW2IGFsbCxEREQgKCiI\noKAgNgOfrrOitrYWbm5u+PjxI4e0zvXr1zFmzBjs2LEDAD2ybC9fvkR4eDgGDx6MAQMGYMSIEZ1W\nq3EDav5ubm5Exmzjxo1wcnIC0Ha+MBiMLhnSMTExUFFRga6uLoyMjIjx9/fff3OtgtFV1NbW4sOH\nD7h48SIWLlwIbW1twtTfFbCWcA8dOhSGhoawtLSEkJAQ9PT04Ovri927d+Pu3bu0leGeO3cOurq6\nkJeXh5mZGUd1QXuGfW7BZDLZzg8fHx9oa2uTnv3CwkJcu3YNK1eupP3sYCXXFZC0b5AAACAASURB\nVBMTg66uLs6dO8ezE1BTU4Nt27aR92xoaIg1a9Z0ytPRFVRWVpIWhIsXL0JZWRmnT59GYmIihIWF\nkZmZydOcqWfx7NkzSEhIdBggu3//PlauXEkbrwjQFiRwdHTs8JlTfEusLa28gCKXDAsL4yqglp2d\njWXLlkFbWxsyMjKws7ODp6cnLCws4Ovry3MwntrvAgMDMXnyZABt9piRkREAYMuWLRAUFIS1tTVP\n16ET1N6Uk5MDHx8fQoJcXV2NrKwsJCUlwdnZGQMHDoS4uDimTp2KjIwMnq5JPacDBw5AV1cXJiYm\nUFNTg6SkJBwdHXHo0CGOdkZu0D4IV15ejhUrVtDSRg3859D3OJhMJvz8/KCiooLevXvD09MTN2/e\n/OPf1dXV4ezZsxg9ejT4+fkJky0vRj+rkbd//36MHz8enz9/7tGSlYqKCqSkpGDy5MkwMTGBqakp\nvL29sXHjRly5cgWNjY3dMj6vXbvWYTSUQneNZRUVFfTt25coCbCOc+7cOXh4eIDBYNCuj9oVNDQ0\n4P79+1i/fj3Gjx9PDK+ZM2ciISGBK4K2qqoq7Nu3DwEBARAUFMTAgQMxffp0ngI4QJuB6e3tTYiz\nWFFRUQEJCQlC9Ncd8r7w8HDY2NgAaJNckZWVRXZ2Nvz8/DBgwAA4OTnRzpT7/ft3BAUFoVevXhg8\neDDGjRsHBQUFGBoaEvKe7q6zL1++YMaMGR2WlNbV1dHCLdAeFKu8gYEBRo8eTasKQHuUl5cjNzcX\nSUlJ0NPTA4PBgLS0NObMmYNXr151+nc1NTV4+/Ytjh49Cn9/f8jKykJYWBiurq7kWdMF6p1RfaFh\nYWEk69/Y2MjxTjvqL+4K2leOvHr1Cn/99RcUFRV51j2m5nP27FkoKSkhLCwM0dHRkJCQwP379/Hw\n4UMkJiZiy5YtmDJlChwdHXkirCsoKICBgQF8fHw4MjjPnj3D9evXiZFCd7mmubk5VFVVSXsGXd9G\nU1MTdHV1iXKFiYkJkXJ89OgRFi9e/NusYWtrK3bt2oXMzEysWrUK27dvJz3m3759g4eHB6ZNmwaA\nXu15Cu33u58/fyI3Nxf79u0jFSV/ui611v39/Umg8ezZs1BRUUF0dDTExMQgJSWF0aNH8zRX6jqX\nL1+Gqqoqtm/fjkOHDoHBYBAH6OrVq7Qwqv8O27Ztw9ixY9lsr54qL2Yymdi/fz8CAwOhra0NQ0ND\nTJw4EbGxscjKyurWud2RPvXz58+hqakJBoMBT0/Pbs+tI3z9+hXOzs7o1asX1NXVsWDBgm6N+zuc\nP38eOjo6JPvMKoV34cIFKCgo0HIdas1nZGRgxowZbBwFHema8wLqOdbU1ODUqVOQlpaGp6cnLl68\n+MfkT2ff5oULF+Dr6wt5eXkwGAxMnjyZtjlbWFjg4MGDANo4glavXg3g/1SScKuC0pOwsbEBg8GA\nhYUFrly5QvhtWlpaUFxcjHv37mHdunWwtbUFg8Ggpepi0KBB2LlzJyorK6Gjo4OxY8di+PDhYDAY\n6NevH3bv3t3lsah3R5FCu7u7IzQ0FIcOHcKTJ09oCRC0x38O/b+Ab9++ITMzE1u2bIGNjQ2EhYUh\nJyeHRYsW4eXLlx3+DevGW1paiq1btxIjgVdER0fDxMSElPvu3LmT9tLGjjat/Px8xMfHw8PDA0ZG\nRjAyMupSVJ460NLS0jBt2jQICwvDycmJZ5kKJpOJf/75B3FxcURJQF5enkNJoKSkpMN2iX8T5eXl\nuHDhAmxsbCAkJARra2uuHdmWlhZUV1fj1atX2Lx5M0xNTdGvXz+IiIjwRExz9OhRSElJISwsDJmZ\nmfj58ydqa2uxbt06DB48mKsxLS0tSYm2h4cH5s6dC6CNGMrd3R2XLl3ier6s6MjQ+f79O7Zt2wYv\nLy+insDNmPX19cjIyICCggJiYmK47n3sCNS3kZGR0WnJXHx8PEd1UE9h586d8PHxwciRI+Hv7w8t\nLS0wGAwYGRlhy5Ytv/3eS0tLkZOTg/j4eBKBl5WVxYQJE2hlUZeVlUXv3r0hIiKCv/76i+3/qH0r\nOTm5y5lh6j03NDTgzp07WLp0KRwcHLBixQoOjgRWo4QbUEbC0KFDsXLlSvLzcePGQUBAAEOGDIGc\nnBwUFRXh7OxMSyDy/v370NfXh4KCAi5dukSLkUk951evXuHt27cdlg/v27cP+/fv5/laFKhnXlpa\nirVr1yIrKwtlZWUwNjYmVV9VVVUYOHBghzwZrNwQnUmdxcXFwc3NjRjIdDwrat4fPnzAunXrYG5u\nDjs7O+zdu5fjuXV3XcnLyxMmczMzM2zatAlAW+bO1taWZ3I/VqLR8PBwMjYVpC0vL4efn1+nuvRd\nBSvhWFZWFt6/f4/U1FSkp6fj0aNHSExMhKmpKfj4+Gghiewq8vLysGXLFowePRpGRkYYNmwYAgMD\nfxtw6UwxoaWlhY2nY//+/VxVNTQ0NMDOzg7r16/nYHrPy8vD48ePaXV+a2pqIC8vj8jISLafNzY2\nYsqUKZgwYQJt1wIAXV1dMBgMDBkyBMnJyRzfCB2BHOr9hYWFQV1dHZqamkRKzcfHB9u3b0dGRsZv\n38/atWtx+PBhjsqz6upqJCYmsu3v3IBaPzU1NYiPj8f169dRX1+PESNGsDm/0tLSPdIexAuYTCaS\nk5Ph5+eHQYMGQVpaGnJycggPD8ezZ89I+1p9fT0+ffqECxcucN3SxhpcUlZWBtBWUSgiIoJPnz7h\nn3/+gYGBAaZPn94tjg+qXXru3LnQ1NSEvb099PT0MHjwYFhYWCAsLAwnTpyg1bf4z6H/F9HY2Iiv\nX7/ixo0bWLFiBVRVVWFlZQWgbYN48OABJk6ciPnz5+PYsWN4/vw5bX2X1KJ98OABevfujdWrV+Pc\nuXPw8/ODsLAwhIWF4e3tjcOHD9Oa8czMzMSRI0c4DNvs7GziqHVlg62trcWAAQPg6OiI8PBwODg4\noF+/fhAVFcWcOXMIGzY3m3VraysqKirw8OFDLFmyBFpaWuDj4yNRzX+LTIwVnUXxnz17hjFjxuDc\nuXMA6DEYKUb/4OBg3L59u8t/9/nzZw6De/369dDR0YGFhQVGjhwJERERGBsbk+hwdzJWP3/+xJw5\nc3DgwAG0trZi2LBhxPBmMpkwMTGhRZOcwsePH7FmzRp4eXkhKiqKrSyPes7dWV/UvYaHh0NZWRl6\nenoQEBCAmJgYAgMDaZMWA9oYVBUVFeHr64tTp06xGTGTJk3CzJkzablOR6CeSW1tLSQkJHDt2jUA\nbYfthw8fsGnTJtLm0d5w7+x5lpSU4O7du6SsmSq74xWtra349u0bli5dCgaDgT59+kBKSgrz58/H\ns2fPALS9N1lZWZw8ebJLY1LveevWrVBUVISRkRECAwOhpqYGPj4+TJkyhVYCrvLycvTu3ZuthFVF\nRQWTJ0/GzZs3SdUTrz22rGhubsb06dNhYWHBcykuK5SVlSEmJoZ58+YhPT0dhYWFxBCilD0A+rOp\nX758IQGwiRMnws3NDbdu3YKvr+8fdck3btyIefPmkX+zlni/e/eOrCO6QO0R7u7u0NbWxqxZs+Dn\n5wcxMTHS4sJNNcvr16/h4uKC58+fo6ysDGpqasTZzc/Ph6enJy1nX2NjIwwMDMiZJS8vzxYsc3Fx\nIQoK3ILan2fMmAEGgwEtLS3MmDEDenp60NLSgo+PD7S0tGBlZdUj3Cvt0dLSwnHWZWVlYcGCBX+U\nmKPuZenSpXB3d8f169c5HMN79+5BX1+fq7m9ffsWY8aMgbm5OTQ0NODh4YF9+/b1qJ0TFxcHcXFx\nuLi4YMOGDbh58yZ8fX2hpKREe+VYQUEB0tLSMHHiRAgLC0NQUBATJ07slm3TVUhISJAkSGVlJZKS\nkuDi4gJNTU0oKSl1qs7x9etXaGpqwtTUFGPGjEFkZCQuXbpEewsIheLiYrLfhYaGYtiwYTh16hT8\n/f1pq5DoKXz79g1Tp06FgIAA/ve//6FPnz6wtLSkzRGm9u6IiAhMmjQJQBuBsa2tLTmLVq5ciTVr\n1nR5PFa7XEpKio1gMicnB6GhodDX10e/fv1o5XP4z6HvYTQ0NOD69escEf+6ujq8efOGMJfGx8dD\nS0sL3t7epAx8yJAhmDlzJk6dOsXz4qUW7erVqzF9+nS2/6uvr0dqaiqsra157v2jrlNeXo7Zs2dD\nTU0NampqYDAYXEXGqfEOHDgAMzMzAG3G5Y8fP5CdnY2oqCgYGhqCwWDQxgaam5uLI0eOEBkS6iPv\naVD3+v79e3h5eSExMRE5OTlshkF9fT1sbGyI0dgVQ5faXIqKirBjxw44OzsjKirqjxHkP2HVqlUY\nNmwYALCRN+bl5WHjxo1YtGgRkpKS8OrVK66l3urr68lBNGnSJFhZWSEjI4P0+fEK6tk8f/4campq\n0NTUhIeHB2RlZdGnTx+MHTuWRGW5dSpERUVx8OBBfPr0iVSpWFhYgJ+fH4KCgjxXGTQ2NiItLQ3r\n1q2Dm5sb1NXVoauri4kTJ8LLywtSUlK0Bj7ag3ouJ06cwODBgzt0JBcuXIjY2FgSLGQ99KqqqrB1\n61ZMnjwZ8+bNY3PeGxsbeZbtocDap/n06VMkJCQgPz8f0dHR0NfXBx8fHxQUFGBnZwc1NbVujy8h\nIYE9e/agrq6OsDenpKRAVVWVSN3w4phSf5uQkAAGg0H6Z3/8+AEJCQnynHqKyLOqqgrBwcHo06cP\n4uLiCBM8N0FF6l5KSkqwbt06KCsrg8FgQE9PD0uWLMHo0aMhKSlJvg1e7unBgwdwcHBAfHx8h6Wl\n58+fx5AhQ8BgMODo6Pjbyq+mpibs3LkTjo6O/2rVVl1dHSQlJYkmfG1tLd69e4f9+/fD1dUVDAYD\n27Zt69JYrGvw2rVr+PDhAz5+/AhTU1Ps2LED9fX1SE5OhrS0NM/zpq41d+5cLFu2DEVFRWz91F+/\nfgU/Pz/XhH7tYWNjAyUlJWhpaWH+/Pkcus9UmSvdbYbUfdbV1eH8+fOYN28epk2bhvXr13NwBXRH\nUtfExAR9+vSBoqIiwsLCkJ2djTNnzsDW1rbD9rauorS0FHfu3MGGDRvg5eUFZWVl6OrqYvLkybT1\nlwPsz/nQoUPw9PSEvr4+hISEYGZmRngN6AalwPHhwwckJiaSsuyhQ4fyPDb1/goKCuDv79/hPvDu\n3TtERET8tqqvuLgYhw8fxsSJE2FiYgI9PT3SjspL0DQ3NxdaWlqIiorqcL+7c+cOtLW1ISAgACcn\nJ9olNunC48eP2UjpqqurkZqaCmNjY0hJSYHBYMDBwQHr16+nJQmZmZlJyInXrVsHDw8Psn4dHR27\nXOV45MgRbNmyBa9fv8bbt2/h4+PTqZrRhQsXaLNvgP8c+h4BdYBQ/d6UQ2tqaooVK1Z0uAEoKSkR\ncqGJEydi+vTpiIqKgoCAABgMBiHw4RUnT57EnDlzOmXw5VU+gXI+ly9fDjs7Ozx58gTHjh2DkpIS\nGhoaUFNTg/Dw8A51NzsCtXn+888/CAsL43BAm5qa8PXr1y73gFPjVVVVIT8/H/n5+UhMTMS2bdvg\n7+8PGxsbmJmZgZ+fH/r6+hg8eDDptfy3cOXKFRgZGcHU1BR2dnaYP38+jhw5gvv372P37t0QFBTk\natyRI0dCX18fixYtAoPBQN++fWFgYICtW7fi0aNH3VZUePLkCaSkpEhvPN39oidOnGCb040bN2Bh\nYQF1dXUoKChg3bp1PF+D+lbHjx+P8ePHs5VU3bp1Czo6OvDx8eF6/Pz8fLi6unL0S9XX1+P58+cI\nCQkhhy6vWUgmk4mvX7/iwoULWLZsGdzc3GBra4sTJ07wNG5X8eDBA8jKypJqDFbExsZi/PjxHf6d\ni4sLLCwsMHPmTDAYDFK5U1RURFu1UH5+PmRkZIgT2n7cyspK3Lt3D5GRkZg3b16XjVrqnX39+hUu\nLi4d6mmHhobC1NSUNkbeEydOwNbWFmJiYhg8eDBUVVU5SI1aWlp4duwzMzNx6NAhpKWlIT09HYcP\nH8alS5fg5OQEQUFBcl51F6wVHazIzc3FnDlzYGxsjDFjxnRbYaAznDlzhsizWlpaIiAgAIcPH+YI\nAL99+/aPQeHTp0+TapPRo0fjypUrKC4u7nH95l+/fiE0NJTjnGMymaiqqsKTJ09IVVdH+wir2oaz\nszNb3z+FadOmYciQIXBwcICcnBzWrl1L2/xPnz5N2kEsLS0BtEnQTpgwgZTf84qWlhbcv38fiYmJ\nmDFjBpGpmzhxIlJSUnpUCpF6/9HR0TA0NMSoUaMwfPhwSEpKQkdHB56enoiLi+MqCPT+/XusWrWK\n2JFiYmJwdXWlLaD06dMnJCYmQlxcHMrKyrTI1QFtwdi1a9ciOzub2JWVlZV4+fIlysrKUF1dTct1\n2qOj3uS6ujo8fPiQ8KfwAsrJO3jwIAwNDbmWMWPFmzdvEBkZCVFRUUhJSfGUtb1//z58fHwwbNgw\nqKiowMnJCYmJiaTdi0Jubm6PVQRwA+q8evXqFWbPng1DQ0P873//g62tLVubIlVlFxERAQaDAVlZ\nWa6q0crKyjoN7N2+fRtCQkKYPHkyJk2aBHFx8S4HHYOCgggRcXBwMOzt7bF8+XJaW5o7w38OfQ/C\nyMgIQUFB+PjxI+zt7aGlpYXBgweDn58fxsbGZOPMyckhi7KmpgYDBw4kPS1+fn4IDw+nZfO+du0a\nMUZiY2ORn59PO6EYBXl5eWKQjRo1CgsXLgTQFmULCAjocjYBaGOlFRMTQ+/evdlY1LkBtWnMmjUL\n/fv3h5SUFBwcHKCvr4+AgAAsWLAAe/fuxdOnT/+v9hU1Nzfj6tWrmD9/PqysrGBqagoZGRnIy8tj\ny5YtbPfyO1C/c/78eSgqKuLbt2+kT5QiXaTWRHfXWGNjI2xsbLB48WK2n7NmXqdNm9YtdnsKz58/\nh7S0NEcf84MHD5CcnIz379/TWjo5e/Zsoind2NhI7uH48eOQl5fnYG3/E6jnfvz4cYwcObJb6727\naGxsxJs3b/D27VsUFBSQXks6S667gubmZsycORN6enrYvHkz7t+/j/Lycjx+/BjKysps65Z6PqdO\nnYKysjLJngsJCZGDc82aNYiKiqLlPqqqqsj7TU9Ph4iICFatWoWXL1/y5Iyxkn5ZW1uTe2RFeno6\nxMTEuL5GezQ1NaGoqAi3b9/GypUr4ejoCCEhIWhpaSEmJoaW8v7c3Fzw8fHBxsYGkpKS0NLSgrW1\nNWRlZWFhYQFnZ2cICwsjKCioS5rtHSEsLAz79+/HP//8w2Hs0E0YVF5ejsuXLyM8PByjRo2Cqakp\nbG1tMX/+fKSlpXXLuSgsLCS8IBQPzaZNm5Cdnd1jTkpLSwumTp2KoKAgrshQKYc+OjoaDAYDdnZ2\nsLe3h7+/P/bt24fCwkI0NjZix44d8PHxwdmzZ2nfP86ePQtbW1uoq6tj0KBB6N+/P3x9fbk6H/6E\n79+/49atW9iwYQPGjh0LTU1N6OrqYurUqT1Sek1BTEwMx48fB9BGRBYYGIiQkBAICAhAXFwcGzZs\n4Gn8wsJC3Lx5s9vOAXWe/S6oGBERgZiYGNoqfLKyssBgMCAkJAQHBwckJSWRc5vOFhpqvq9fv8ay\nZcsgKytLKhrS09NRWlpKe0VGa2srRo0aBVlZWYiLi8Pf3x8HDhz4bUaeteqws/nMnDkTixYt4nkP\nr6ioQFZWFrZv3w5fX1/o6elBQ0MDPj4+SE1N/Vecy+6CeiZubm4YP348srOzMWHCBLi7uwNoO5MS\nEhJI0DU/Px/BwcGd8pD9CYMGDYKbmxtOnz6NkpIStnfS2tqKnTt3wsXFBSNHjuwWGR7QtiYvX74M\nU1NTMBgM9OrVC7NmzcKNGzfw7du3HgsA/+fQ0wzqo83JycHAgQOJwywiIoKsrCw8ffoUMjIyMDAw\nIOVGp0+fhr+/P5qbm3HhwgWYmJgQA/fMmTMICgqiZV4NDQ3Yvn07rKyswGAwoK6ujvDwcNy9e5ej\nNI0XlJaWwtramhzUwsLCpNy+vr4eqqqqRDKvKxttYWEh5s2bB0tLS/Dx8WHo0KHYu3cv1xH3mpoa\nSEhIYODAgbCzs8O2bds6NUp7igm3PajnkJ+fT/gAKJSVleHChQs4e/YsPn78SLLW3Sm39/b2JoRy\na9asIRm97OxsODk54cqVK1zNe9euXVBUVGRjKS4oKEB0dDTExcWhoKDAdfR06dKl6Nu3L6ZMmcKh\nB0oHqGfz4sULeHt7d8gY/OvXLwwYMIAEd7qzHpqamojWvJSUFNavX4+8vDxaNnPqW6Wi8f379wc/\nPz/MzMwQFhbWaYlXT6OoqAhBQUFQV1eHmZkZ9PT00KdPH3h5eXUoq+br60skW0JDQ9lkt7Zs2dIj\n6hJFRUVYvHgxVFVV0atXL1haWiIhIQGfPn3i+t3Y2dlBSEgIQkJCCAsLw+3bt8FkMvH8+XNMmjSJ\n3CPd/bv19fXIy8vD+fPnMWfOHKiqqkJAQAAmJiZcO9oUPnz4gPz8fDCZTJSWlpJvvLy8HA0NDbh6\n9So0NTW5ItJ8+/YtJCUlMWTIEJiamhJJ055Yt+2/2U+fPuHQoUOYPXs27OzsYGJiQmTsutuC9Pjx\nYwQGBmLgwIFgMBiEYI7OeRcXF8Pd3R0aGhro1asXlJWVsWrVqg6rQf6EEydOYODAgdDQ0MCsWbMI\nWdvw4cMRFhaGp0+fsrXF0AXqrK6oqEBaWhqp9qC7PaSjOVM91StXroSxsTHPZGPtQZ0jN2/eJK06\n3759g5iYGGE89/f3R3BwcJfaAltbW3H16lXMnj0b69atw/nz5/Hu3Tuev2egzQ7w8vLCvn37OL61\n8PBwYiPQifT0dIwaNQq9e/eGmJgYgoODcfz4cdp0z1kdQSsrK9y6dQumpqbo27cvKbNftmwZz5K/\nVMKDdc1SsnPW1tYwNDSEs7MzwsLCkJqaymHbUv+OiYnBmjVrkJGRwZE1P3DgAIKDg7meY0FBAYe9\n9eXLF1y+fBnR0dFwc3ODhoYGjI2NMXnyZNqqxuhCaWkp+Pn5ib0nKSlJnOHjx4/D1dWVVCm1trZC\nT0+PqwBdS0sLDh48CDc3N/Tt2xfS0tIIDg7GnTt32PyK7lRfUXvP69evERwcTBK2P378wNq1a6Gg\noEAIgqOiopCVlUW7f/GfQ08zqBcUGxtL2DuPHTsGIyMj4ojFxMQgKSmJ/E1RURFOnz6NX79+4fr1\n69DX10d2djZqa2vh4+NDOwso0OY4Ll68GNLS0uDn54eqqipHrxcv8PPzg5+fHzZt2gQ9PT3y87Nn\nz2LAgAHdHq+urg5FRUW4dOkSJk2ahIEDB0JISAi2trbd7s1nMpl4+fIloqOjMXbsWFLaHhYWhqtX\nr/ZY1cKf5gSAZH6mTp2KgwcPdnjodTXaTP1ea2srZsyYQQhanJyc2MrV3d3deSqzk5aWJkoJM2fO\nhJycHFRUVLBlyxYSaeY2Qn7t2jVYWVkhICCgx7Jfa9euhbS0NAkeUN9BUVERYmNjoaGhAYD7e3j8\n+DFmz54NSUlJ8PPzw8XFBSkpKX+Ut+kMVH8g0Ca55eLighs3buDZs2dYvnw55OTkoKCggKdPn3I1\nPjd4+PAhm7P66tUrbN26FXv27MHt27dJxrX9ARYVFYUpU6YAAFRVVdkqMhwcHLBs2TJa51lTU4PN\nmzfj169faGlpwZ07dzBlyhSIiopCVFQUI0aM4ErCJz8/H0lJSRg7diz09PRgZGQEJSUlDBkyBLNn\nz6bNeKXQkSFQXV2N3Nxc7Nmzh4O9v6cQFBQEOzu7Lv8+ZQxfvHgRHh4e8PLywpgxY6CkpARJSUm4\nuLhg48aNyMrKojWL0dm3S6kq+Pr6YuTIkR3+DvWsm5qakJOTg61btyI+Pp7DwUpLS6N1ztSzWrJk\nCfT09JCamoqsrCyEh4dDSUkJvXv3xtChQ7udPXry5AnGjRuHVatW4cuXL7h+/ToWLFgAGxsbmJiY\nwNjYmLa94969e4R00MHBAWvXrmXrGeU1c9qZQcxKVEihqakJL168oFVlhBX79u2Dh4cHGhsbkZyc\nDGtra1JqnpSU9EdiUup979+/H0pKStDT04O8vDykpKQwfPhwrF69GlevXuW657ampgahoaFwd3eH\nmZkZRowYgVmzZuHw4cM4ePAgBg0a1GUi0K6gfbCmvr4eMTEx4OPjA4PBoKUVjHrHX758gbCwMOGq\nkpOTw/Xr13Hjxg3w8/OztXJxi2HDhpGgQHtmekq+bsaMGdDS0oK/v3+HYzQ1NWHixImQkZGBqqoq\nfH19sXv3bmRlZSEzMxPDhw9HSEgI13P08fEhBJPtFQxaW1vx5s0bnDx5EosXL4aNjc3/c5n6S5cu\nkZacO3fuQEJCAiEhIbCysgI/Pz969eqF5cuX486dO1iwYAFERER4vmZRURHi4uJgZGQEPj4+qKur\nY8WKFXj58iVXDveoUaMQFBTUoT/17NkzLF68GL169aKt1YgV/zn0PYRz585hxYoVaG5uxoYNG9j0\nXKdNm4YZM2YA4DzQSktLoaGhASUlJRgZGWHw4MG0y6y0/4jv378PT09Prh2MjpCbmwtHR0eSnbt5\n8yaJZFI9R9waPy0tLSgoKMChQ4dgampKWLW5QW1tLf7++2/MnTsXI0aMIKyjq1ev5jmi2120trYi\nKioK0tLSEBQUhLq6OszNzTF37lxcu3aN6xLIxsZG3Lt3jzyn4OBgBAQEAGjbYAQEBDgOqN8hLS0N\nvXr1wsKFC/Hq1Svs3r0bBgYGEBcXh7a2NuLj49nKQrnZFCljoKmpCWlpaaRv/sKFC7SXz71+/Rop\nKSlYsGABjI2NISsrS5zi8ePHs/VOdacqYuXKlWxtDLW1tUhLS8O4cePAYDDg5ubW7bmycgqUlpZC\nRESEow+upaUFQ4cOxaJFi7o9Pjf49OkTGAwGTExMsHz58m6VwN29excSEAJRYgAAIABJREFUEhKY\nPXs2hISEyHu/cOECREVFaavMoMaNj4/H0KFDOfae6upqnDhxAiNGjOiyNA015qFDh9i4Rx4+fIjV\nq1fDzs4OCgoKGDduHBYtWoTjx4/TRv71OzCZTK4qAah1W19fT/TYExISODJ5rM7S/PnziYZ7V1Fd\nXY3+/fuz9bNWV1cjLi4OAgICUFRUhIGBAeFioCuL8evXL7x48QKnT5/m6B+nSOZ+h+XLl2Pw4MHw\n8vICg8FAVFQUAPYyZrr3JqAt4Nq+1ayyshI3btzAuHHjEBgY2KVrs763GzduQE9PD7a2tkQS8uXL\nl9i1axemTp3KUyUJ9V08evQI8vLyGD58OBYsWIDZs2fD0tISlpaWtAYbqXfZHeeeTlDj19TU4P79\n+2hqasLZs2ehpqZGyuOdnJwwf/78P44DAObm5mxqIJmZmZg+fTqUlJQgKCiIJUuW8DTfoqIiHD9+\nHPPnz4eTkxO0tbUhIiJCS3aeuof25cusEmpTpkxBeno6LcEv6npxcXEksHj16lUoKyujuroaDQ0N\nCAkJwbVr13haA+Xl5YQzpKysDEZGRqRdpX2ApaCggC0o3P67ZDKZxK5xdXWFrKws9PX1ISEhgWHD\nhvGUNT979iyp7rW3t4eOjg5WrFhBeI4o1NTUcDj8/y/g27dvxM6bMGECTE1N8ebNG3z8+BHe3t6Q\nlpaGhoYGGAwGLC0tieoRXXj58iXCwsIgLy8Pfn5+aGlpdUkem1pbN2/ehIqKClslDpPJRHNzM/kG\nqApcuoP8wH8OPW0oKyvjcLioD+vvv/9G3759sW7dOiQkJEBYWJgYMx31uv748QMrVqxAYGAgz/1l\n1EL78OEDZs+ejSlTpmDNmjVE/7CnGJGBtsXt5eWF/v37Q01NDYqKiti1axcpafndBkttgrW1tThx\n4gTCw8Nx8eJFfPjwge0goDObXlZWhjNnzsDf3x+qqqodknv1BKj7SUlJwdixY0mP+OHDhzF16lQI\nCgpCSkoKzs7O2LNnT5fI6w4ePIgXL150+IyTk5PBYDCgqakJTU1NjBo1qlvzffbsGUJCQmBmZgYB\nAQEICwuDwWBw9Ad2l2SPFbW1tWxBgR8/fiAkJAQjRoxARkYG1+P+DtXV1Xj48CF2796NSZMmwcTE\nBJqamhgzZgwOHz7cLVmf2tpa6OnpwcXFBa9eveL4/+/fvxNDujuGjbe3N/T19ZGSkoLi4mIsWrSI\nELjV1dURQ3znzp1QVlbuUYkmau/Izc2Ft7c3hIWFMWjQIPDx8cHY2Bg7d+7sUi/ggQMHoKOjA3l5\nebi5ucHZ2RlaWlo8G64dISoqii3rz6ux39jYiCFDhsDMzIxDfqmpqQnp6emYOXMmhg8fDkVFRVqI\nHHsK1PukJFXHjBkDPj4+9OnTBxYWFkhOTuZ4n3l5eV0+Q6jnTJGkUlwVrGt06tSp2Lx5M0JCQsBg\nMHiuGmNdoxMmTICwsDCsrKygpaUFT09P7Nmzp0PNeQrUOXTv3j3IysriwYMHyM/Ph4iICGnDiY+P\nx759+2jNdlHXraiowI4dO7Bw4cIOzzrW4E13gwm/fv3CwoULMWPGDLYgFi82AevfBgYGwtvbm/y7\nsrISmZmZsLOzg5aWFke5MTfIyMiAuLg4Wltb0dzczDOpb3dw69YtDqOcuv+fP3/C3t4eNjY2UFFR\ngYKCQpfaSRobGzF79uxOlU+OHDnCEzN8+zP57du3ePDgAb5+/UrrWeHn54eEhAR8/vyZY38NDw+n\nre2BWvMpKSlE5z4qKgpubm6koi88PByTJ0+m5XpAG7Hk3LlzMWbMGJiammLEiBGYO3cuzp492yn3\nR2trK5YuXQoTExOoqanB3NwcSUlJqKurQ0lJCY4cOYJLly7RJh1YX1+P3bt3Y86cOTA3N4eKigoc\nHBywfft2WhN3PYHY2Fg4OjqCj48PoqKipNpPW1sbBw8exLdv31BWVkbL/kGBVU0JaLPJ7t69C3d3\n9y59b9Q69PLyIgHWjlBSUgJ5eXki4Uk3/nPoaYKfnx+WLFmCS5cu4ePHj2xGOpPJRHR0NGRkZCAj\nI4PVq1cDaNv8jx49iqCgIPj4+CAmJoYjc8ALqI20qKgIhoaGsLa2hq+vL+nDs7Gxwdq1a3Hq1Cla\nD8L2Rl9NTQ0yMzO52qzGjx8PdXV12NnZEUZLX19fXLp0qcuZtO6CyWSioKCAlp61rl4PAHR0dLBp\n0yaO/9+0aROMjY0REBAARUXFTrVNKTx69AhycnJwdnZGSEgIjh8/zmFM3L17FwsXLkRcXBxXBCyU\nxvjZs2exePFimJubQ0BAAI6OjkhOTibrv7vOUmFhIYYMGYJRo0Zh2LBh0NDQIL1xAwYMoKV0rqNr\nskqaAW0b7/Xr17Fp0yZ4eXlBVVW125I3z549w7Bhw6CsrEyUEphMJtcGM5PJRHJyMsaNGwdpaWmI\nioqiT58+HRorS5cu5WA+7yloa2tj+/btePbsGT5//owrV64QskUhISF4enqSoEZlZSVSU1NhY2OD\n5cuXo7KyEvX19bh9+zYWLlyI4OBgTJw4kdb+WmoN/vz5EzExMRgxYkSHBJDddYiocT99+gQ3Nze4\nubl1Sor048cP7N69myNTwivozjxWV1dDTEyMGByqqqpYvHgxG3kmr2W59+/fh4KCAts41LPftGkT\n4RuwsrLi2fCn1tDo0aPh7e2Njx8/YurUqVBSUoKNjQ0GDBgAdXX1TqtZqHkFBAQQmbCdO3fC0NAQ\nQNvzj4uL61TBgVeEhoaCwWCgT58+SEhIwLdv37r1zqnf/f79O3Jzc1FRUYG7d+8iMzMT3759Q1xc\nHOTk5DBo0KDfBja6gu/fvyMmJgZPnjzBz58/MWPGjA7bAd69ewdNTU1cvHiRp+sBbWSmHh4eANoU\nfKiA2b/BfaOjowMGgwF7e3scPXqUgyMkMzMToaGhWLdu3R+11lnne+7cOQQHB9OSwaPWb2FhIXbv\n3o3x48fDz8+vR6XKampq4O7uDlFRUQgLC8Pb25vwY1y8eBFycnI8l9u3D0z8/PmT9Fanp6dDQUEB\n2dnZ+PvvvyEpKcnz9To6GwoKCnDkyBHMnTsX9vb2MDc3h4WFBbHPWOXtpk2bBhEREfj7+2PatGmE\nVFRWVpa2LHNHa55Sb9mxYwcmTZoEQ0NDKCgokDa3/5fAuleFhIRAUFAQffv2hba2NsTExHDgwAHa\nrkW9z/fv3yMoKAhOTk4wNjYm7Qrc7h/W1tZISEjo1JZgMpmYM2dOlzXtu4v/HHoaUFtbi8mTJ0ND\nQwOKiooYPXo0Nm3ahDt37rCVXlRUVLBl8vft24chQ4Zg6NChmDRpEszMzKCiogJnZ2ckJCTwTFhB\nGTMRERGkX+PZs2eQlZVFSkoKdHV1ISIiAhMTE1qis42NjYiJiYGhoSEkJSXh4eHBlcY2Ne8zZ85A\nRUUF//zzD8rKyjBgwADExMQQMitW0pn/v+PXr1+wtLTEihUryM+oTeXz58/w9PREbm4u/P39YWVl\n1WkAhirvOXfuHObNmwcLCwsYGxvD3d0dkZGRuHz5Mq2RTaDt0Hj+/DmSk5Ph5eUFGRkZMBgMrsql\n379/j2XLlmHp0qWIi4vDhg0bsGjRImzbtg07duzAX3/9xfNapZ5rdXU1tmzZAmtraxLB3rt3L8f4\nhYWFOH36NFcGaGNjI4KDg2FkZMSmr87L3MvKypCdnY1t27Zh3LhxEBAQgJiYGGbOnIlTp07B19cX\noaGhtOoJtwd1YF28eBESEhIc2cNPnz5hxIgRiIiIIIRBhYWFWLx4MbS1teHu7g5ZWVmEhYXh/fv3\n2LBhAxYuXMgVwVpXcfDgQeKUjhw5EufOneM5M0XtVU+fPoWVlRXExMRw6ND/x96Vx9WY/f/fHUvS\nSotUKqVI0Z5WrQhtGoqUaVFGpewqS9YaS7IWWSMztpKEYhQpjKYFYRBKpFJE+3bfvz96Ped7bzdU\n94nm+/X+r3tv55znec5zzvls73cMW/T5WxgX3GYaUM8zMjISmpqaAP4jS1lZWYnHjx9DR0cHYWFh\nXGt5NzU1wdHRESIiIggLCyOO3kuXLhHuDQBwcHAg6ijcoL6+ni2iPnr0aBw5cgQfPnyAmZkZdHV1\nv8oh4u/vTzJG1NXVycEPaKtbpZwQdGe81dTUIDExEdOnTwcPDw/ExMTg4eGB1NTUThH4UeOZNWsW\nGAwGhg8fjtmzZ0NZWRlSUlKYOXMmIcniFufOnQODwYCgoCAcHBzg4+MDIyMjvHz5km1uVlZWgpeX\nlxZ2+82bN0NTUxNJSUkYOnQo23MBetawf/XqFeLj4zF9+nQICAiAn58fM2fO5CDp6sqcCA0NhaSk\nJBgMBqysrLB7927cunWr26oPVN+zZ8+GnJwcpkyZAhsbG4iJiWHIkCFwd3fvsYy3qqoqHD9+HBYW\nFujbty/4+PggLS0NW1tbrttev349tm3bhuzsbI71++3btyQAJCQkxJXsbGeRl5eHyMhI2NnZEQ15\nan1csGABHBwc2Pb/t2/fIjExEebm5hASEuqRvbr9+lxcXIyUlBQEBQUhKiqK9v7oADXmhoYGBAYG\nQlpaGmvXru2x4J2mpiZmzpyJffv2gZ+fn8gFZmdnIysrq0t7XEtLC1xdXb/o3G1sbMTIkSMJKTjd\n+GHQ04jW1lbExcXBwcEBw4YNw8iRIzF79mzs378fubm5HKnmampqRM6qqqoKGRkZiIiIgLOzM2Rk\nZDBz5kxaxjV27FhCNjV16lRSy0UtKNx6aykHxe7duyEpKQl/f3/s3LkTFhYW6N+/P8TExODn59fp\nujnqJbK2tiYEIatWrYKpqSmANlUALS0trrQ6exOo+bB9+3bIysoiOTmZzdt/79498PDwoLW1FXfv\n3oWcnFyna95LS0tx5MgRzJo1C5qamtDV1cXMmTOxfft2pKam0lqyQBmbmZmZtHpTqbbpApU9sHHj\nRmhoaCA0NBTLly8nEeX+/fvD0dGRlggS0Obw8PPzQ//+/bF161ZSSsBtvW1jYyNevHiBq1evIjAw\nECoqKoQAiG4yuc/h9OnTGD16dIfRvZ07d2LRokVElnP//v0QFBRESkoKamtrkZycDEVFRWhra0NW\nVhbCwsIQExPrsc0OaFtn9+zZQ+rwVFRUsGbNGqSmptKiUx0YGAgzMzOOujtuDW7qf5lMJtLT03H1\n6lWkpKR0KeX9S21T7QcGBmLFihUA2rI8HBwcyDwNDAzsMIOou32uXr2aSL8NGzYM0tLSsLOzQ1NT\nE0pLSzF48GDcunWLqz6ANqIlLS0tNDU14f79+5CSkiL1o0eOHIGvr+9XpeDOnj0LZWVlXLx4EYMG\nDSJ1s0+ePIGQkBAxTnuihp5CWVkZIiIioKmpib59+0JUVLRTrOnV1dWQkJCAoqIiLC0tsXz5crx+\n/RqVlZUkaEA5B+gY//nz52Fqaoo+ffqAwWDA0tISp0+fRl5eHjIyMrBq1SoYGBhw3Q/Q5jicPHky\nlJSUMGDAAKxYsQLJyck9Up/6OTQ0NKCgoABRUVEYP348+vXrBwkJCfj7+3cq45K657du3QIPDw9C\nQ0OxY8cOTJgwgWSGzZ8/H5GRkd3KpKyrqwMPDw/u3buHhoYGlJSU4Pr169iwYQNMTU3BYDC6zIPR\nVVRVVeH8+fO4du0a13KI1dXVxElsamoKHx8fHD16lIMDIy8vD1evXu2yckVHYA0CJCUlISoqChER\nERyKRO3PU0wmE4MGDfqsM7+xsRFqamqEU4uOPaK2thZpaWnYtGkTFi1ahD///JPtd+3LnL4nqLn/\n5s0b7NmzB+bm5rCxsUFISAhRKRg9ejQiIyPx6tUrWs6BrJK5MjIyANruGatk7oEDB+Dj49NlR1pY\nWBj69u2LxMREjhKs5uZmnD17lhYiv8/hh0FPA1hJPyhUVFQgKioKJiYmkJSUhJaWFtzd3QkxWX19\nPYKCgkgqLitKSkqQkJBAiw56eXk5nJyccOXKFTQ3N2Ps2LEkal5bWwsLCws8e/aM636ANjKXyMhI\n8ndNTQ3y8vLw22+/Yfjw4V1KAW5sbMS0adMQFxcHADAyMiKkJI2NjZg+ffpX09j+bXj9+jWsra3B\nw8ODKVOmYMeOHfD29oaKigqpRTx79iykpaW/2A61SLafk0+ePMHWrVsxdepUaGlpQVlZudsanl9D\nd9JCmUwmnj17hlWrViEiIgJXrlxBXV0dG8s0nZCSksLx48cBtDGT+vr64vbt28TYo4gDO1vjTt3v\n4uJiZGRk4N69e3j27BnS09NRUFCAefPmgZ+fH9u2beNq3B3d27q6OhQUFODcuXNwc3MjZT09jbdv\n30JGRgbGxsZIS0sjdYt1dXUwNTVFYGAgmEwmZs+eDXNzcygpKZH/LS0tBYPBILrN9fX1UFdXh7e3\nN20HDupe1dXVcbBb//PPP1iwYAEkJCTAYDBw586dTrVJvV8vXrxARUUF3r17h9u3b+Pdu3e4efMm\nxo4dCwaDgZCQEHKYpMsh5e/vDwkJCYiJiUFWVhaTJ09GSEgIUlJSuCbca21txc2bN0ma9MaNG2Fn\nZ0e+V1VVJZGd7hp+8fHxbJwSr169wtWrV7F3717iyKmtrUVoaChtRt/Dhw8RFhaGkpISXLx4EXp6\neuRe7d2797P93Lhxg82AcnFxAYPBgICAAM6cOYNVq1bB0NCQlojj51BZWYmMjAxkZmayff7o0SMS\nDPgamEwm7t27h/Xr18Pe3h76+vowMzPDmjVrkJaWRkvtf1VVFYcRXVdXh+joaPI+UCVTM2fOpH3f\nMTY2Bj8/P5SVlaGqqgonJydEREQgIyOjx1jtO8KnT5+Qk5OD1atXQ1VVFQwG46tkc9TaEBYWBk9P\nT7bvHj58iHXr1kFTUxMaGhpdGgtrur2vry9HNmNDQwNevHiBc+fOdTsDgBWdWeNY5W25QWtrK1JT\nU7FixQoYGBhAXV0dkydPxooVKxAXF9cpR1d34OHhAREREVhaWkJSUhKjR4+Gvb09Dh48SBwKrA7S\nAwcOYNSoUQDazhGsZx3qvLBw4ULMmDGDaxUfqr3Vq1djxIgRxNHFz8+PUaNGITg4mBBsfys55q+B\nGrOzszMUFBTg4uICW1tb8PPzg4+PD+bm5jAzM4OgoCD4+fnh5OSEuLg4rpzv1LX7+fmR923p0qVs\nkrl79uyBoaFhl9uuq6uDvr4+hg0bhvDwcNy7d4+siwcPHoSOjg4CAwO7Pfav4YdBTyPq6upw9+5d\njsXx8ePHWL16NSQlJYkBER8fD21tbVrJOjpCU1MTbt++jcePH6OmpgaTJk1CQEAAKioqcObMGfDx\n8XW77UuXLkFaWho7d+5EZWUlTp48iUOHDgFgP/AxmUxUVlaSVO8vRZRYpdbi4+ORnJyM5uZm2Nra\nEimmJ0+eYODAgd2Wb+ntuHDhAqZOnQpJSUlYWloiNDQU7969w5s3b6Cvr09UAj4H6v6ePn0akZGR\nHdbIp6enE5bm7oDODYGVgVxLSwvm5uZgMBikNpJOKShq3A8ePICSkhI+ffqE2tpaDBkyhHjbo6Oj\n2TSpu2q8SElJQUtLCwICApCWloampib4+PigoKAAFRUV8PDwYMaMGV0ufeiIhXz37t0cbLWVlZXf\nVI4mPz8f5ubmMDIygqOjI1xcXDBu3DjIycnh5cuXaG1thYyMDBQUFNiYnjdt2gRjY2PC+gu0ac/r\n6OjQNjZqbm3duhVeXl44e/YsHj58yHF/upLySM2hGTNmoH///lBQUICmpiZ4eHigr6+PiRMnYuDA\ngRAXF6fFsUJdQ0JCAqSkpHDr1i28ffsWDAaD6DuPHj0a1tbWXZ5Td+/exfPnzzuc41evXgWDwYCh\noSHMzc0hLS3N1bz6559/ICcnh6lTpyIwMBBJSUkcCg1AmzM8IyODVpURyjFYWFgIJSUlzJkzBytX\nrsTw4cM7NIyLi4sxcuRITJ48GWvWrCHZZcnJyZgwYQJ4eXmhoaGBVatWcS3N2REaGxuxefNm8PPz\nQ0lJCaNGjYKBgQH27NnDVVZVbW0trl+/Dl9fXxgbG9Om6uLn50ekeN++fcthuBUWFiIkJIQ4S+ki\n/6LejSNHjiA7Oxs1NTXYvXs3Jk2ahBEjRkBPTw8zZ87kikiuI1DPurCwELt37+6Qk6Ourg7Jycmd\n5kUKDw/Hr7/++tnvuxp4odappUuXQklJiZzNehqfew9iY2O/SBjWnfarqqrQ2NiIM2fOwM3NDTo6\nOtDS0sL06dMREhLCVYYPBWqOnT9/HpKSknjx4gUKCgrAw8MDf39/yMnJQUBAAIqKimQvpsaora3N\noW7Qnkfn0KFDJPuUW9TU1EBAQIAEDmVlZeHn50eUdRgMBg4cOEBLX3ShpaUFYmJiSE9PR2xsLAwN\nDeHl5YXffvuNZJCsXLkScXFxsLKyooXHBWhbM8aNGwcAUFRUZMsqNTc3x/Lly7vUHvW+/fPPP7C3\ntwcPDw+EhYWhqakJcXFx4uSny6nVEX4Y9DSAMjgiIyPh6upKyDnq6+s5UqSoF33JkiVQVlYGPz8/\nLC0tsXv37q/K5nADKuIVFhYGERER6OjoQFZWFkuWLOl2mxkZGZg+fTrk5eXBz88PGRkZaGpqcqRU\ndeWgk5CQgISEBHJPqYN+WFgYGAwGpk2bRphF/+1glXjJy8vD5cuXOQ7MrAf0W7dudUnTWlFREXv2\n7CGe34sXL+LQoUO0HaYAeiWBJCQkEB0dDaAtI4MiODp79iwWLVpEK19Ceno6nJyc8Pz5c9y4cQPq\n6uokbfzy5ctc1ZTeuHED169fR0lJCR48eEBSHZ8+fYqysjLcvHkT6urqJOOks2jvgWdlIR83bhwO\nHTrUY5GJr4GKgjo5OWH69Onw8PAg0j3R0dGQkpKCjIwMdHV14e3tjcuXL0NOTo6DEMjV1ZVkRtAJ\nirldVlYWlpaW2LBhA1JSUlBYWMgWNfkaSkpKEBgYiLlz5yI6Ohq5ubm4ePEirl27hsLCQqSkpCAn\nJwdlZWWIiYnBoEGDsHHjRq7GzlqCRDnz1q5dC0tLSwDAsWPHMGTIELi5uXWp3draWqIssHXrVqSm\npnI4/y5fvowZM2bAxcUF169fZxtPV1FfX4+YmBh4enpCW1sbWlpasLOzw5YtW3D16lVaSh46g+jo\naBgbG2Ps2LFYsGBBhwZyaWkptmzZAnd3dxgaGkJTUxMzZszAgQMHUFRUhJaWFg7iWzpAtblr1y4o\nKSlh7969SEtLQ0xMDDw8PKCiokIboRmdqi579uwhhusvv/wCT09PnDx5Evfv3+coZ6CD+Lf9/W5s\nbOQ4KD969AibNm2CkpISmbt0gXpO8+fPx4QJE4ixXVBQgBMnTuDgwYNdirjeuXMHSkpKEBAQwLp1\n69hkz7hBdXU17O3toaysDB4eHjg7OyMxMZFWJ/n79++RkJDA4UxkMpls2YKamppfle7rar8MBoMt\n2+PVq1eIioqCo6MjpKSkaCn9o65h2rRphDwzLCyMGOFJSUlQVVXlKEeqrq6GjIwMdHR0MG/ePJw+\nfZqDfBdo47don5nRVVBngwMHDhCHeG5uLsTFxVFbW4s3b97A1NQUa9as+aZKEJ3Bx48fsXDhQri4\nuLDx6yxduhSZmZmYPXs2vL29SdlCYWEhLVwl79+/h6qqKsaPHw8+Pj40NDTg48ePiIyMhISEBNcB\nw6ysLGzbtg3Tp09HYGAgB7dGT+CHQU8jZGVlsWfPHvL36tWrISsrC01NTY70+draWmRmZiIsLAz2\n9vbQ1dWFgYEB5s6di4MHD9KWcsqa5kOB8pReunSJ65e7qqoKeXl52L9/P5ydnSEqKgo+Pj64urp2\nmWzlzp070NTU5PAgFhcXo7q6GrGxsbC3t0dgYCBtZQK9AXPmzIGsrCyGDx8OERER2NjY4Pz58xy/\n66i0oz1YCQWlpKTQ3NyMpqYmnDt3DkJCQhATE4OgoGCXDwysTOHHjx/H06dPO9RX7SqoNi5evAhZ\nWVkAbVJYAgIChFQvJycHampqnZL96Qpev36N6upqFBYWQk5ODmvXrsWzZ88wadIkwmjdU7KOO3bs\ngKSkZJfLCKqrqzF48GDEx8cDaHPaLF68mI2FnEph70kwmUw8ffoUSUlJyMvLI4f29gfFkpIShIaG\n4uDBg8jLy8OGDRswceJEqKmpgZeXFz4+Prh69SoxqgQFBTnSi+lESkoKXF1dISUlBUFBQTg7O2Pz\n5s1fraGm4O7uDldX105H/KKjozFmzBiu19mmpiYYGhqSyMS4ceNI3evr16/h6enZrTXxxIkTcHR0\n5OB8uXv3Li21p59DUVERIiMjoaurC0FBQYwaNYoQItKZ/VNVVYVt27Zh8+bNWLNmDXHavX37tlOs\n7g0NDcjIyEBoaCgcHBygo6MDXV1deHl5ITY2tlsKIV8Cde2qqqqEHJBCbW0t3N3doaCgQCuxKZ2q\nLs3NzVi6dCnGjh0LaWlpktrfXnKWrlrhrVu3QlNTE4qKihgzZgwcHBxw9uzZb1YjPHjwYFKj/OzZ\nM2hpaUFeXh7Dhw9HTEwM23i/hMLCQixZsgTjx48n6dLLly9HQkIC147s58+f4+LFi1i1ahWsrKww\natQoaGtrY9GiRVzLQgJtZStycnKYNWsWNm/ejPT0dI71Lj8/H3379qVF+5y6n9euXYOZmRlaWlrQ\n0NDAcR7JycnhOo2dQktLCyHNBdoUOLZv3w6gbY1xcnLiMNiYTCbbnqetrQ0LCwssW7aMbc8TFham\nJZMAaAsUUo7dwMBA2NvbkzNGUFDQNyvF6yq8vb3Rr18/XLhwgY1fR0dHB8OHD4eQkBBERETY1IK6\nA+r/oqKi0NjYiLt372LKlCkQEhKCuLg4VFVVMXLkSOzcuZO2a/uW+GHQcwlqguTm5kJUVBQtLS1g\nMpnYvXs3hg4dil27dmHMmDFf1B8uLS1FXFwcli1bRmpGuAG1sF08l85uAAAgAElEQVS7dg0LFiyA\niYkJfvnlFw5yDLrx4cMH4qQwMjICPz8/FBQUMH/+/E4Rofz888/w9PQkNW/Nzc2IjY0laXoWFha0\nbAi9AazEHFJSUjh48CCuXLmCnTt3YsKECRASEoKkpCRcXFy6lOZKzUdPT094e3sDaEsTtbW1xfLl\ny1FZWQkzM7Mup11R7R4+fBji4uKYMmUK1q1bh+TkZFoOtfHx8bCwsADQVrvLWs90/PhxjBgxgus+\nqGugGMhZsX79esjLy6NPnz7Q19cnDo+uRiOrqqpw+PBhJCQkcBhEra2tZAxHjx7F5MmTO90uNY59\n+/aRWsrs7GyIiYmhoqICjx8/hq6uLkJDQ3vUEKMO5EeOHIGGhgYYDAZ++uknjB49GqtWrcKdO3dQ\nVlbGYdiz3sfa2lrcvHkTvr6+MDExgba2NhwcHDBt2jSIior22NhZ0dTUBDc3N/Tv37/T2T5lZWUQ\nExNjiwhRUSjq+s6ePYuKigrynI8cOQIxMTGux1tfX48TJ04gIyMDNTU1MDExQVhYGCln4rYEqaKi\nApGRkYTzRVNTE76+vjh16hTy8/O5JrL6EoyNjWFvb08ceNwa9NSzePz4MaysrKCkpARjY2MICgqS\n6HBJSckXnWkdZR5VVlbiwoULWLFiBSZNmgQdHR3Y2NgQ5xpd+PjxI/T09Ei2EiuokoEbN27Q2ie3\n6OiZXb9+HXPnzoW8vDzk5eVhZ2eH8PBwWhw2NTU1cHNzg4iICLy9vYl8nbKyMiQkJLB+/foeqxOm\n2r158yakpaVRU1ODT58+wcvLC3Z2digqKsLChQsxderUTtWmf/z4kWRK1tTUID4+Hh4eHtDR0cG4\nceNgYmJCmNO5QXNzM+7fv49jx45h0aJFUFVV/Wp9f2dQVFSE7du3w97eHurq6jA0NISHhwciIyOJ\nTGdYWBhGjhzJdV/Af+7/H3/8AWtrazYG9KamJtq5doC281pqaiquXbuG5uZmtmwpav390tm0trYW\nN27cgK+vL8aPH8+254mIiNA2zoKCApw8eRJAmwKEubk5cWqMGTOm1xBJU8/w/fv3cHZ2hoSEBP7v\n//4PqqqqRL2gI34dLy8vrp11BQUFYDAYRGK2uLgYFy5cwPbt27Fhw4bPSs/+G/DDoKcJJ06cgJqa\nGoqKinD58mWYmZkRciFKGotCU1MTsrKykJiYyHH4fvToUafJmToCtZjV1tZCWlqaMKSam5tDUFAQ\nUlJS8Pf3R25uLgDuDk+UUfrnn38iISGBbF5NTU0oKipCSkoK/P39oa+v/9W2mEwmBAUF2aRsKEPO\nxsYG4eHhkJaWhoeHB9fj7k0ICgoirNJA26ZbUlKCtLQ04mHtDrZs2QJlZWWcOXMG6urqWLx4MTG8\nzczMup0GnJKSAhkZGeI1VVRUhI2NDXbs2IGbN2+SzaMrhjDFji8uLo6NGzdi2LBhJLpRUlICU1PT\nr/IGdAas9dRRUVG4d+8eSfNtbm4mqfJdjYhQ7aakpMDIyAhjxozBgAEDMGjQIFhbW+PcuXMc6cT5\n+fndyjigJP0AYMWKFWws5EFBQfjtt9+63GZ3IC0tjeXLl6OwsBCPHz/GggULICIiAl5eXqipqeHS\npUsAvj4PWNN+hw4dis2bN9M6TiaTiTdv3rAd8qi1IzMzE8uWLeu0IRwaGgo9Pb0v/mb8+PEIDQ0l\nfVRWVnJ1QGAl9WttbSVrbFBQEFRVVbFp0yYYGRlBV1e3W+23tLRwPKPHjx9j5cqVUFNTg6ysLFRU\nVLqtPEC9G6dOnUJSUlKH71Z4eDhbZhu3oJxJv/zyCyGsO3nyJEaPHg2g7RAZHBzcaRnJjvYaSoN6\n2rRpGDJkCC2RTqovJpOJxYsXQ1FREXl5eWxZQjk5OeDh4fmmHBmdQUdkXxSampqISgAl79ddUHN1\n69at0NXVZcvmaWlpwV9//QVXV1cwGIweM16oa33y5Al0dXWxf/9+LF++HHp6eiS1n3W+fa2dPXv2\nQExMjMNQKS4uxv79+zF16tRuZ2RUV1cjJSWFGNYUPn36hBs3bnQqS6Ur+PvvvxESEgJzc3OoqanB\nwsICCxYsgICAAIlo04HKykpoa2tDQEAATk5OhOyNFXSfEZlMJomqb9++HfLy8kTbvSsEaqx7nqSk\nJO17HoU7d+5AUlIS5ubm0NLSgqysLC1ZOHSAWiNCQkKgoKAAOTk52Nvbw9fXF0OHDkWfPn0gLCyM\nmJgY2vh1qPlw48YNuLq6oqmpqccyML8Xfhj0XKK5uZkctCZMmIBJkyZBUFAQK1euJId4Dw8PzJo1\nC0CbBNmMGTMgJycHTU1NyMnJYcaMGUhMTKR1Adq7dy+J5DU1NaG4uBhXrlxBUFAQ1NXVwWAwaEvb\nU1JSwv79+ztMK21tbSV1Q1863FPs0FSU5uPHj9DX18e8efPIb9asWQNDQ0Pa0xy/F1paWnD06FEi\nWdIe9fX1XdZ8pn5XWlqKadOmYdy4cdDR0SEpxc+ePQM/P3+nZe9Y28zMzISGhgbxAJeXl2P37t1Q\nUFCAoKAgjI2NsXLlyq9G86hF9OHDh2yG1qVLl6Crqwt+fn54e3sjJCQEhoaGMDAwoO2Zt7S0QFtb\nGwMGDICioiK8vb1x7tw5vH79mu0ed8UhQf1WR0cHfn5++PDhA1xcXKCnpwcLCwsih7dp0yaux5+Z\nmUkchZs2bYKNjQ35bsyYMbQaRp/DixcvoKmp2WE6Y1paGszMzAgpT2fvI5PJRFFREW0HDtYIuZSU\nFEJDQ3H79m1UVlaSMX348AFDhgzp9Dro6uqKBQsWfDECFBERQRvRKXUNr169gpGREduB/9GjR7C1\ntYWEhAS8vLwIbwu3aJ9ZkZ6eDmdnZ0L61Z09qqmpCbKysmSv27VrFzIzM1FRUYHa2lqihgDQSywn\nKytLSiO0tbWJE7O2thY2Njbdcn61v/6GhgbY2NgQeVW6UFBQAC0tLcjIyGDlypVITEzEypUrYWxs\nTORse+NhlDULqX2JmIuLC9eOD6rtESNGsGUwtH8nvby8uOJB6QwaGhoQEBAABoMBJSUlJCYmku8m\nT56MgICATrVz5coVrFixgvAyNDQ00BJoiYuLg5GREbS1tSEoKAhlZWWsXLmSdk1v1gwlCs3NzSSg\no6urCxEREVqNyZKSEqxduxYzZ86EvLw8NDU14ezsjOjoaK7VPjrb/7Jly2BlZYXAwEASIOsK6N7z\nOsKZM2fg4eEBf39/2okh6YCtrS2ioqLY+HVOnjxJ0t9ZA1rc8utQc3TDhg3Q1NTkcHI1Nzf3yjW1\nK/hh0HcDHS22LS0tOHfuHHx9fXHo0CEyMfLy8iApKUlS5KZOnQonJydkZWVhzpw5UFRUhIGBAfr3\n749hw4YhODi42+Oys7PDjh07UF5ejvT0dAQHB3MstPX19Xjy5AnXJDGsTOqf8/xdvny50wvdy5cv\noaamhv3796OhoQE+Pj5QVVVl+/8LFy6wyV79W8Gqj8zPzw9hYWFERkZyTQpFOUMoFBQUIDc3l7T7\n4sULBAQEsKWzdwbUHPL09ISjoyPbNQBtET1VVVV4eXlBSEgIpqamnWJiVlBQQP/+/eHu7o6bN28S\njW0PDw8YGRlBR0cHc+bMoeUAQs3Xv//+Gxs2bICRkRH8/PwgLy8PBoMBdXV1rF+/Hjdu3OgSYRB1\nH168eAEhISHivBITE8OVK1dQVlYGPT09TJ06FdeuXQNAH2t/WloaYSG3sLCAlJRUjx4OqHtYUFAA\nHx8fkmrcGW6H74WCggK4uLhAREQEPDw8sLS0RFRUFHbv3g0bGxtoa2t3uq2wsDCoqqpyfM76Lkya\nNIk4brp7T6j3jaqJX7hwISlHaQ9uGM+pcZeWlmLt2rUICAjA1q1bcf78eVr4KlgdJ1T5lJWVFaSk\npDB27FjY2tqSdGyK6JMup3Z5eTnMzc1x6tQpojFMkc5++vQJ4uLiXGXCAf95vvb29ggJCeGqLVbW\ndIo/5ePHj1i7di3k5eUhKCgIdXV1BAUFkYySntS87wyo/pOSkvD06VO279pH6n///Xf89NNPtPRb\nXFwMOTk5jgM58B/D/tKlS9DW1u6WodURqGvNyspCVlYW27XV1tYSI5LJZGLr1q2Qk5Pr1DtUVlYG\nAwMDSEpKcjDlNzU1cZVeLC8vjxUrVuDBgwcYNWoU9PT0CNu2goJCj5B0dWTcV1RUcP2ufQ41NTXI\nyMhASEgIbGxsoK+vD1VVVTb55O6Cesbl5eU4cuQIlixZgsTERDZSYrpq9LsL6l5XV1cjLi4OHh4e\n2L59O27evElKV3uiBIEbUGOuqanB/v37sXjxYmRlZXHw68yfPx9JSUm08uu8fPkSqqqqEBISgry8\nPLZv3/5fxcf1w6DvBlhli9asWYPS0lK276kDe2FhIebOnUsItmprayEgIEA2IkVFRRw8eBBPnz6F\nrq4uxo0b1+16vMLCQkyZMgUaGhoYOXIkLC0tIS8v32PSbtQ9mDdvHpEiaX8Y27Zt2xdlWNrjl19+\nAQ8PD2RlZSEmJsZBDOfs7NzjMn/fEn///TfWrVtHWD1VVFTg4eHR6VRQVuTm5oLBYEBXVxd79+7t\nUHv32rVrWL16dbcJWAICAqCnp0dY8hsaGshcd3d3R3Z2Nm7evAk5ObmvHqSYTCYePHiAnTt3Qk9P\nDz/99BMUFRWxbds2FBcX064dTG0iSkpKCA8PZyt1ycjIwIgRI9C3b18ICAjA19e3y4bSsWPHSHpv\ncnIylJWVSR8xMTFclQywvlft37GkpCTMmzcPNjY2XZJe4wYiIiLEkXDr1i22e8UaoettuHjxIqZO\nnQoRERHIyMjA3t4eaWlpnf7/pKQkMBgMREREcNTGMplM/P333xg4cCBxQHF7H/j5+aGhoQFhYWEO\nkh7qkHbmzJlup8MDbYcqIyMjqKmpYerUqeDh4SFybeHh4UhMTOw0YWB7UNcvLS3NJplVXFyM7du3\nw8PDAxs3biRlVnQzxQcHB8PS0hILFiwgDpHa2lrs2bMH0tLStPQFtDle6OKtoIzB9oSyJSUltKp8\n0IWamhpoaGjA0NAQ3t7eHTJ5t7a2wtrammQpcos3b97A0NCQZCp15CB9/vw5xMXFab9nVlZWMDAw\nwMKFCxEbG8vhyPj06RMOHz7c6XT/zMxMmJqaYtiwYRAQEMDcuXO7tCa1B7XPxcfHQ0ZGBkCb9ruA\ngADy8/Nx/vx5iIuLw9zcnDYm/S+Npaf2gpqaGrx8+RLl5eWk/KSkpARnz56Fu7s7W+lmd0GNnTpL\nq6iokFI6Z2dnXL58GR8/fvyu+x019xcvXgwFBQWoqalBXFyccAGFh4cjNzeX9vMUHQgODgaDwUD/\n/v1x5MgRvHv3jnZ+HVanI+XQ/fvvv7Fr1y5YWVlBQ0MDBgYG8PLywokTJzpUIfg34YdB303U1dXB\n3d0dioqKGDhwIAwNDXHgwAEOb1hubi5Z9E+dOkUiQtnZ2ZCSkiLevkOHDsHHx4cr8qE3b97gzz//\nxKZNm/Dzzz9j6NChGDRoEH799VeuNokvYdeuXVBRUSHp9qyea3Nzc6xatYrj8y8hOTkZISEhHDVR\nWVlZkJOTo2Wh7m0oLi7G+fPnsXLlSlhaWmLUqFGQkZHpsC7sc6iurkZiYiK8vLwgLi6Ofv36wcrK\nCvHx8WwHHm4ierm5uZCQkMCyZcvY5uk///yDgQMHIiMjAy0tLVBSUkJcXFyn2mxtbcX79+/x119/\nYfHixVBSUgKDwYCpqSmOHj1Kq8ReSUkJBAUFkZWVBQBszLg7duzAunXrcOLECQgICHS5ri03Nxfr\n169HVVUVTp48CSMjI/JOBAQEwM7Ojlxvd/G5A1JLSwscHByIVjbdaH9gfvDgAbZs2QJFRUX06dMH\nenp62LVrF168eNFrI/WsaGlpQU5OTrciF25ubuDj48OyZcuQmZmJoqIi1NTU4PLlyzAyMoKTkxMA\n7qOnra2tuHfvHlEvGDBgACZNmoTY2Fi2aLasrCzOnj3b5fap57R9+3aoqamhoaEBJSUlEBISws6d\nO6GoqAgRERGoq6t3itjrc6ioqICamhoKCws7JKOkE+1l5MrLy2FjY0O03NevX49p06ZhzJgxxBjs\nbSgtLYWzszNkZGQ6JMXrbWhtbUVOTs5nmbwbGxvx6dMn8PHx0cbkDbRlRejo6LA5Uljf5x07dmDU\nqFG09UchMTGR8AJpaGhg6tSpWLlyJZKSklBeXt7l9phMJh4/fowLFy5g6dKlMDExwYgRI2BoaIil\nS5d2ucad2h/8/Pzg5+cHoK00izXDZ9GiRf+KudUerJxNM2fOhLCwMH766SesW7eux4zqO3fuYNCg\nQcjOzkZ9fT3Ky8sRHR0NfX198PDwYODAgb2CRG3w4MFs2uyZmZmYOXMmBAUFwWAweuV69+HDB5w4\ncQLW1tbo27cvpKWlERAQgNu3b6O6upo2fh1Wp6Ovry9SUlJQV1eHpqYm3Lhxg5CcSktLd1lKuLfh\nh0HPBT5+/Ij8/HzExMTA0dERQ4YMgZCQEKZPn95hlLWwsBCBgYEoKirCuXPnYGxsTLRTt23b1uVU\n6M+ByWTi2bNniI+Px7Jly2BmZsbVJvEl5OfnQ0hICC4uLmwpYydOnICQkBDpi5sFNysrC7q6unB1\ndeV6vL0FHRk+DQ0NePToEU6dOgUfH59uGd/Nzc0oKioiC+XAgQMhLCwMT09PUmbRnWdBjffo0aMY\nOnQoBgwYABMTE7i6ukJeXp7M3QcPHoCfn7/bUb38/HwcP34cw4cPB4PBwOzZs7vVTkeoqKiAsbEx\nIZVjxf3796GsrAwA8Pf3x8SJE7+aTvfmzRsEBgaS+lnqvlI8BTY2Nli4cCFERUVJfWVnDd6upLP+\n8ccf6Nu3b6fa7Q6CgoLIYbX9+NPT0+Hm5gZRUVEwGAyirNAbUFRUhBUrViA4OBh79+7F1atXObKp\nuorKykoEBARASEgIvLy8GD16NIYOHQoGg4F58+YRbgq6DNe4uDj4+fnh2rVrsLW1BS8vL0RFRTF9\n+nTMmTMH4uLi3WqXmqsGBgZEHu2XX34h79uVK1cI4RfQ9euh5slff/2FmTNnEpJEgPtU4s/1tWrV\nKjg7O7O1XVpaisjISLi4uBCSrtu3b9Oqw003GhoasGzZMgwdOhRbtmwh1/O9U+y/ho6YvO3s7DBh\nwgRalB5YkZaWhn79+kFLSwtnz55lI4+MjY2Fmpoa9u3bR2ufrKisrERsbCxmz54NLS0t6OjowMnJ\nici2dQdMJhP5+fk4evQofHx8IC8v3yU1g7KyMtL377//jqCgIABtJTusPD2TJk36ZuSpPYHRo0dj\n7ty5+PTpE4YOHYqwsDAAwNWrV0lZGzfnzaNHj5JyiT///JNkoLbHs2fPeozQ7mtISEhAQkICkd21\ntbUltkR7HD9+vNenlRcWFiI0NBSjRo1Cv379ICUlRbJruOUaYHU6WlpaQl1dHWZmZli9ejX+/vtv\nMJlMfPjwASdPnqSdX+Jb44dBTxMqKirw119/ISIiAhYWFhg8eDAGDhyIsLAw3Lt3D2vXrsWxY8eI\nR/nJkycQFxfHnDlzsG3bNowYMYJr7cOONvza2lpkZ2fj8OHD8PX1hYKCAm2SN5RHPCEhAWpqapCS\nkoKKigp0dHQgJydH+AC4PYhUVlYiPj6ew7D5N4I1sk1FvhobG9lSoriJiLXv69GjR9i+fTsMDAzA\nYDBoydQoLS1FdHQ0nJ2dMXHiRERHRxOCqzlz5mDKlCkd/h+1yX78+BHPnz/H8+fPERkZiYiICLi6\nusLExAQ6OjoYMGAA0TGmdEfpwtatW8FgMDBr1ixyLx4+fIhp06aRKMaBAwc6RahEaZK3Lw0B2vgj\nJk+eDB0dHURERHRrrN8jnbU9ioqKiNxQQ0MDNm3ahDt37qCiooKjjjQmJobIzHyvSD211ty/fx+6\nurpQV1eHvr4++Pn5MWbMGMyaNQv79+/HzZs3uRrjs2fPcPjwYXh4eGDBggW4evVqj8tkAW31nJGR\nkTA0NIS1tTVX78f79+/h4OCAhIQEAG3EcawyQTY2NsjPz+cYQ1fg6OgIYWFhGBoaIjMzk6MdOu+Z\nrKwsGAwGzpw5A4B9Dn748OGLpSvfG9R4WMccGRmJMWPGYNWqVVxlVn0PtI+ubdmyhfY+UlNToa2t\nDR4eHoiKisLAwABqamro168fNm7c2CO1wx1lST1//hw7d+7EtGnTICMj06HDuH0bQNs+GB4ejtmz\nZ8PPz49NVvjjx49dJrqk9rajR48CADGAYmNj0adPH4SGhuK3334DHx/fNyGOo/Mdo+5ZQkICZGVl\nAbQ51IWEhIjxfejQIZibm+Pt27fd7ufjx48QFxfHTz/9BH19fezevRtmZmYk+42SKf3e64eDgwMY\nDAaGDx9O+ANYVQQ6UpvoLfjaOnznzh2sW7euR/pmdToaGRlBQ0MDtra22LZtG+2KD98DPwx6mtHc\n3Iw3b94gNTUV/v7+8PT0hJycHAYPHgxhYWFISkqSaMXBgwdhbm4OeXl5zJ07l6uoBeuL8eDBA5w4\ncYKDlOXdu3dcp71R/RQXF8PJyYk4KLKysrBnzx4sXrwY8+bNQ3p6Ohvb7f8yWOUynJ2dYWBgACsr\nK0ybNg2jR4/GlClToK+vD1lZWZiZmUFAQIB2EpmqqqoupfAD/3luVVVVyMzMxLFjx3DmzJnPbpj3\n7t1DZGQkm043K6gN5tdffwUvLy/ExcVhYWGBsWPH4pdffoG/vz8OHDiA7Oxs5OXldWmsXcGJEydg\nZmYGKSkpCAkJQUREBEZGRqScw8TEBEuXLv1iGx1pklOgrvPYsWNcRYS/Vzrr53Dz5k3C2D9hwgRE\nR0cjPz//uxMDsYK6966uroQhNz4+HgoKCtiwYQMGDx4McXFxWFtb0943XYc86hoyMzPh5+f3WSKg\nrvZH/Z7VOLx9+zays7NRU1ODKVOmYMGCBaiqqsKNGzfQv3//bhmSrHXLBw4cgKurK2RlZaGsrIzp\n06dj165dpJ6RW1DXdOXKFQgLC2Px4sXQ0NAgEfj2e09vrCUF/lMu0NjYSPSs3717h+XLl0NGRgbu\n7u6E9PTftJ/2FJM3Je93//597Ny5E3PnzoWdnR08PT27xUHTnf47MpgyMzM7PbetrKygp6eHefPm\ngcFg4ODBgwDa3p/uZJA0NjYSotdjx46Rz+vq6hAUFAQVFRUoKiqSiDYd+NaG7Zo1a+Dg4ACgLXPM\n1NSUfHf8+HGi7NRdMJlMlJaWIikpCc7OzhgyZAgYDAaMjY1x4cKFXuMUZDKZePHiBdatW0fKFEVF\nRREWFoanT5/2SmOeWreoewy0nS2p/aKwsBDl5eWoqqr6JhlUrE7H4cOH48iRIz3eZ0/jh0Hfg6ir\nq4O4uDj27NmDnJwcXLp0CUpKSnBwcEB9fT1aW1vx6NEjWj1DS5cuhZycHPT19cFgMDBmzBiEh4dz\nzaDeHvn5+ZCRkcG0adPY0lS+t+eyN2P27NlgMBjYsmUL1q9fj40bNyIxMRGmpqYYOXIkdu3ahdWr\nV3OdqUEXqAXYy8sLgwcPhrS0NHR0dGBsbAw/Pz8kJCRwHJC/5pSqrq6GqKgoBg0aBDMzM0RERHz2\nsNcTc4kyUEpKSnDlyhXExsYiNjaWlAjExcVBTU3tq+9kZzTJTUxMaJGqA75tOmt73Lt3j+2AcPny\nZUyZMgV9+/bF4MGD4erqit9//52N/fd7Q0ZGhqRf6ujokAhheHg4TE1NSRS3N4K61xMnTsTcuXPJ\n2p2cnIzZs2fDy8uLQ9Gis2htbYWVlRVWrVqFGzdusBmH4eHh5L0cPnw45syZwzaezoKKHv36668k\nwv/69Wvs2rULdnZ20NHRgZaWFqnx5QbU2KZOnQovLy9UVFRAQkICa9eu5fjtkydPICoq2iui3dR9\np8rUrly5Aj4+PqJpLSwsDAMDAyJ7OWDAADg5OXUoDfsDIMRo3wNU1LYzoObrmTNnIC8vTzKu+Pn5\nSdR83bp1WLduXbf4lN69ewc/Pz/07dsX/v7+pFSqoqICDx8+7HESN+o+XL9+nSupy8/h7t27UFBQ\nwOvXr6GsrIzff/+d9DthwgQsXry4221T46T2u/r6ehQUFOD48eOYNGkSeHh4ICYmBl9fX8LD861B\nzZ/Q0FBCNNra2oqsrCz4+flBTEwMPDw8sLKywvHjx3vFnkzNiT179mDkyJGwt7eHmZkZhg4dCktL\nS2hoaEBeXh4mJiYky+pbjpvJZKKwsLBHFYK+FX4Y9D2I6OhoDmKWpKQkiImJ0Tp5qJc8Pj4eioqK\nOHfuHNLS0sDHxwd7e3swGAz89NNPUFNTozVCkZmZCXV1dairqxOGbSaT2avrE78nLly4gGHDhmHi\nxIl4+/Yt2UAmTpyIBQsWkN/1BqcINYaCggL0798fN27cwNOnT/HHH39gwYIFMDc3h56eHrS0tLok\nDURFVTZs2AA7Oztoa2vDzMwMy5YtQ3Jyco8dts+dOwdPT08sXrwYu3fvRm5uLofzoampCXfu3OlU\nWUJnNMm3b9/eI6oM3yKdlUJ6ejpUVFQAcBIqNjY2Ijo6Gtra2mAwGDh16lSPjaMrePToEaysrJCX\nl4eKigooKiqS7JTnz59j2rRptJIt9gTaS639+eefkJaWxrRp0yAvL49t27Z1q90LFy6AwWBAX18f\nEyZMgL29PbZu3UoyTc6dOwcXFxccO3aMGANdjQinp6cjLCwMBgYG4OXlxYgRI7Bp0yaUlZWByWQi\nLS0N8+fPJ/X5dEST+vXrR55xeHg4BAUFiZoMNf7g4GBoaWlx3RedkJKSwowZM7B161acPn0aBw4c\nwPHjx5GamopDhw7h2rVryMvLw8mTJ6GiogJdXd1uka/9t4J1bvb0vtmZ9r/2G+r7WbNmwcfHB0Ab\nQzkrf1J4eDisrKy4GGkbWbGsrCz8/Pxovy/UnpeXl4cHD9HoZpcAACAASURBVB5wfN/a2gozMzPw\n8vJ+tq67u6iuroaTkxO0tLQwcOBAxMXF4fXr11i+fDlkZWW77eik8OzZMwwfPpzj89raWty/fx9h\nYWFkv+uskkFPgIeHBykpKQDY51xdXR3Onz+Pn3/+GQwGg+t5RCe0tbXx008/wcPDA0eOHMEff/yB\nhIQEmJmZQV1dHXv37kViYiJXqi3/6/hh0NMAKv2rPXR0dNgMNQCIiIjA2LFjAdBXZ0ptahMmTCAE\nXWvXroWpqSnq6uoQEhKCYcOGYcmSJbT0B/xnEamsrISDgwMMDQ1pq83/b8bbt2/h4OCAmTNnkmhL\n3759uy3dRD37goICWh0p1DgSEhI6JKZ79OgRoqKi4O7u3u1axY6izra2tli7di2J7HED6v1KTEyE\nvLw81NXVoaenBzU1Nejr68PT0xP79u3rFjv8t9Ik/xJ6Kp2VFWlpaRATE2MrAWlpaeGYa+/evfvu\naX6s9z4lJQUFBQV48eIFtLW1sWvXLtTX1+PIkSMYMmTIdxxl53D58mUoKSmhoqICr169gq2tLRYt\nWoTGxkZs2bIFZmZm3YrW3rp1C0pKShAXF4eXlxccHR2hra0NHR0duLu7Izk5mZZsrqamJrx69QrJ\nyclYsmQJlJWVISYmBn9/f7bfAN03xKj/i4mJgby8PNt3ZmZmhCCPWiOlpKQIR0BvwcmTJ6Guro7x\n48d/NWvkzZs3UFdXJwSbP9DzOHHiBA4fPszhzOTWSF6/fj3JgBkxYgRbuq+FhQUhtOssqPGwrssx\nMTEQFxeHlZVVj0jUaWhodPg+NTQ04MyZM93mjvkanj9/Dm9vb4waNQoqKioks6W7ks+syMnJwZAh\nQz5rVLa2tqK6uhrXr1+njeuos6Ce8aVLlyAqKoqmpqYvnr3evn1LW2kTHcjJyYGtrS2WLFnCln0i\nJSXFViLyA93HD4OeZlCHh+rqasjIyEBHRwfz5s3DyZMnAbQZ+Xv27AHQdjCmqx6uoaEB48aNI2mm\nGhoaiIqKAtBGbOXo6IicnBxa+moPymsqIiKCmJgYsvn9m2r9vgUogycnJwe6urrQ1NSEra0tNDU1\n0dDQ0O1DQl1dHWRkZLrNLP8lREVFwdra+rPsn9Q1cXvAYY06jxgxghD7cANq/k2cOBEBAQHk89u3\nb2PVqlWwsLCAoqIi3Nzcutz2t9Yk/54wNjYmhlhHzstLly59txREaiwvXrzApEmTsGPHDo6okaen\nJ4YNGwYLCwtISUnRVgbRk3jz5g3MzMwwf/58jBs3DtbW1uRwFhERAV1d3W63XVpairlz58LHxwdP\nnz5FTk4O1qxZg8mTJ0NbWxvKysrdksIDPk/M+vDhQ0RERNBaw0v1JS8vj9WrVwP4T8nPn3/+ycZX\nk56eDh4eHlr6pRupqamwsrKCoKAg/Pz8ONZxKuuttbUVDAaDZMP9QM/Dx8cHDAYDwsLCcHZ2Jkox\nFD4XzPkarl+/DlFRUcyfPx/8/PxszmdhYWGuI82s/YwaNQp2dnZcGfXUNebl5WHbtm3Izc0Fg8Eg\n3zc3N7M5dL9FCURubi5iY2Nx9+5dWtnJbW1t4ejoCOA/z5f1GWdnZ3+X4BW13v38888cZ5b297+3\nIiMjAxoaGtDV1cWLFy+Qn5+PgQMHorCw8F99Ruot+GHQdxO5ubk4dOgQDh8+jIsXL3IQhTGZTOTl\n5WHDhg2YMGECdHR0YGhoCAaDgePHj9POwFpeXo4NGzbg9OnTqKmpwfjx44n39M2bNxAVFaWtLiUh\nIQGHDh3C5cuXcfToUcTExODy5csYOXIkeHh4/ivIJb4FgoODwWAwvkrA9jVUVFTAwMAAx48f7/D7\n7qa9PXnyBAoKCujfvz8mT56MuLg4lJSUcDPUr4Lueqbm5mZ4e3t36HFvaGhAXFwcIVHq6ob4rTTJ\nvxeocZ89exYSEhL4+PEj27U8ePAA7u7u6Nu3L2H6/9abMtXfhg0bwGAwYGZmBnNzc7i6uuLgwYN4\n/fo1GhsbsWvXLjg5OSE+Pr5btanfAzt37oS2tjZcXV3JYbyqqgoaGhrYsWNHl9tjJfK6f/8+Jk6c\nCAUFBVJiUlhYiJMnT8LDw4MQqnb3eba0tHT4PgUGBmLixIm0RbeampowY8aMDg/0bm5uRIrS29ub\nkGn1VkRFRWHo0KFQUVFBTEwMIZtkJZNi1Zr+X0VJSQnev3+P4uLiHjcca2pq8OTJE+zduxdGRkbo\n27cvpKSksHTpUq71xw8fPgwVFRXIyMhg6tSpmDRpEpSVlbt8HkhOTkZaWhquX7+Oo0eP4vLlyzhz\n5gwiIyORlpaGxYsXg8FgcE0YB7SRXAoJCWHgwIEYMmQIEhMTOdaIV69ewc7OjpYzLrWGPHr0CEuX\nLoWBgQEWLlyIS5cu0U7GSl3HrVu3ICwszEEq/erVK/j7+0NQUPC7pdszmUzw8vKSva6jDAnK+ddb\nUVJSAicnJ0yePBl6enqEvPYHuMcPg74LoBaX69evY8yYMRgwYADk5eWho6OD6dOnIywsDDdu3OBI\nWWRNLdbT04OOjg6tqcWsoDa4OXPmQExMDBs3boSDg0OnZLg6g9TUVIiKikJbW5sQKI0dOxaysrKw\ns7ODmZkZGAwG5s+f/685OH9rUIvtu3fvEBwcDH5+fqxYsaJLhnf7TTQkJISDubu8vBybNm1ii053\nBfX19Th+/Dh8fHygrq4OLS0t/PzzzwgNDcW1a9d6Fbt5e1DvalZWFqZPn47p06fTznD9rTXJvweY\nTCZqamqgoqKCvXv3AmiLfrq5uUFISAhaWlq0pDpyi1OnTmHQoEEYOXIkfv31V1hbW0NDQwNGRkZY\ntmwZsrOzSebQvzUS8OnTJyxYsACampq0ra1btmyBs7PzZ5n0u4KcnJwOo4Csxn1WVhYUFBS+CYdB\nWVkZhgwZgqCgIAgKCvaKkjBq7r1//55E/liDAXl5eZgxYwbU1dU/m7L8b52/3KK5uRn79u2DsrIy\neHh4oK6uTvv56XNobW0lSjFr1qyBsrIyGAwGxo4di+3bt39WzYR6VlVVVTh58iRMTEwQHByMDx8+\noL6+HqmpqQgICIC3tzdmzpyJpKSkLjmWP378CDk5OfDw8EBISAgjRozAgAEDICMjAyUlJQwYMAAa\nGhoYO3bsV+X0OoPKyko8fvwYvLy8UFNTg5iYGERERODi4kLKshYuXAhtbW2u+2KFmpoadHV14ezs\njJEjR4LBYGDUqFFYvXo1UlNTaSV9bmxshJ6eHlatWgWgLSK/ZMkSCAgIYPTo0di3b1+PSCJ+CdQ8\nOnjwICQlJXHq1CnY2dmBn58fvLy8cHJyQkZGxjcdU3fAuv55eXlh4MCBCAkJ+b6D+i/CD4O+C6AO\n5hYWFnBzc0N1dTVKSkqwd+9e2NvbQ0tLC+rq6l/0sFZWVnKdWtx+kxg/fjwCAwOJhBzQVlPt7++P\nUaNGwdrampYDG3X9eXl5pFaLNVWGOqQlJydj7NixtGuI/7fi4MGDEBcX7/TClpWVhb179+Lx48ek\njvb169eQlZXFs2fPUF5ejpCQEEhJSWHcuHGk3IMbFBUVYd++fZg2bRp0dHSgqKiI2NhYrtvtaXh7\ne6NPnz7o378/nJ2d8fvvv+Phw4e0Rna+pSb5t0JVVRXmzp2L69evo6mpCUFBQdDU1IShoSFERUUx\nYcIEnD59miupTbrx999/w8HBASEhIXj16hWuXLkCf39/mJiYQEtLC5qamt3iS/jWaGhowKFDh7Bt\n2zacPHkSWVlZqK2tRXNzMy5cuIDk5OQut1ldXY27d+/i3bt3uHnzJi5fvoyXL1/i999/J8YJt9KH\nlpaWsLCwQHBwMBITEzuUt4yIiICOjg6AnnV0Ue/fiRMnwGAwICUl1WN9dQXUNU+aNAn8/PxwcXHB\n4sWL8fPPP8PDwwOnTp1CVFQURo0aReSy/tdBGbgHDx7E6NGjceLECZw+fRq8vLyoqKhAa2srTp8+\nTRjj6YKuri42btzIkdnY3NyM8vJy/Pnnn/Dx8QEvLy/09fU7bIN63kuWLMHo0aNhY2MDSUlJLFu2\nDM+ePcNvv/2GgIAAnDhxoltjbG1tRX5+PsrKyvDkyRPk5eWhuroaT58+JRHm58+f48OHD7SmZCcl\nJaGkpAQZGRmEAJOPjw8DBgyAgoJCt9aozyE7OxtDhgxhk8N8+vQpAgICiAOdDplfd3d3XL16FQBw\n9OhRjBs3Dubm5hAXF4eamhoOHjz43YIY1LPT1tbGb7/9BqDNKM7JyUFERASMjIzQp08fSEhIYMGC\nBRzZBb0JrPKpS5cuxaBBg7B69epeHSD6t+CHQd9FtLS0wMHBAenp6Rzf5ebmYtmyZcTQ+dICyk1q\n8Zc2ifz8fAQGBsLf3x/R0dEoKirqcvudAeuCwXowo67ZzMwMs2bN6pG+/1vAet/27t2LuLg4AF9P\n/V6zZg0YDAYkJSXh5uaG+Ph4FBcXw83NDRISElBRUYG6ujoSEhK67LlmNUQ/ffqEa9eu4cWLFxw1\nZMHBwVyn5fYESkpKONJ5X7x4gY0bN0JDQwNSUlIwNjbG6tWrSXlKT6A33ZPu4N69e5CWlgYPDw9G\njx4NNzc39OnTB1ZWVkhNTe1VShasNY5Xr17FmDFjYGpqiqdPnwJoSy+PioqCm5tbr3JAsIJaC548\neYJJkyZBXFwcw4YNg7i4ODQ0NLB58+ZutUutJSEhIWAwGBg8eDAcHR1haGiIQYMGYcaMGTAwMMCw\nYcPYHMLdQX5+PtasWQNtbW1oa2uTrLXk5GTU1NTgwoULUFNTI07snq75pLJLHB0dsXXr1h7tqyto\naGiAlpYWBgwYACMjI4SEhGDv3r1wdXWFtrY25syZAy8vL/Dw8MDT0xMAetX79q1Bvdtjxowhkq4+\nPj6kzrmsrAw2Nja0PuP3799jzpw5kJOTQ58+fWBsbIxjx45xnNcaGxvx8uXLLxpQTCYTgoKCSElJ\nQW1tLZKTk6GoqAhtbW3IyspCWFgYYmJivZbdm1qbYmJiEBUVxZEd1NzcjPfv3yMjIwPHjh3rlErM\n17B48WIcPXoU7969w61btzBv3jyydrd3BNIRrHr58iVUVFTAy8sLKSkpzJkzh7DEX7lypVfoz5eW\nloLBYHBI6ra0tKC8vBzp6elYvXo1REREaJEEpQOdcdoeO3YMgoKC3Soj+wF2/DDoOwnq8PHs2TN4\nenoiODj4u47nc5uErq4uhg8fDiEhIUhJSRFPKTeLEHXtxcXFCA4Oxrhx46Cnp4dff/31szJjv/zy\nS69Ixf1vRW1tLfbs2YMxY8aAwWCQ7BBK/qO78m/UAhwbGwtDQ0PiAR8+fDjWrVvX69PH3dzcSJ3p\nq1evOAz29PR0zJs3D8OHD4e8vPz/9EG5M8jPz8eyZctIFFdDQwPHjh3Dy5cvv3naYWdRU1ODgIAA\neHl5sdVW92bSIGoeOjs7Y8qUKWwye0FBQeDh4el26QwAGBgYYOjQobCwsICXlxfu3buH+vp6lJWV\nAQAxVOh4vxsbG5GZmQl3d3doampCS0sLkpKS4OPjw5o1a775O/fx48de6ciJiorCvHnzEB0dzfZ5\ncXExioqK0NTURDKJevu629N4//49VFVVSSBFRESEGMBMJhN6enqIiYmhtc/m5maUlJQgPj4ejo6O\nEBISAh8fH2bMmEEiuV8CdeaKjo6GkpIS+ZwyzKj65/r6eqirq8Pb27tXzlPgP/d/0aJFbAZ9RUUF\n7t69SyuLfn19PSwtLcHLywtRUVF4enpCUVGRI9OQdT2nw8j+9OkTcnJysHbtWujp6YGHhwfDhg3D\n4cOHe4Wee3NzM0mrb21t7fCaGxsbUVhY2Cui3V87H1DjZzKZ2Lp16zcrn/lvxg+DvouYPn06GAwG\nBg0ahPXr1+PWrVvfVNO4K5uEmpoavL29udb2ZmULt7e3x4EDB6CoqIhff/0VQFt6f2pqKtmMmEwm\nnj9/zlWf/61oaWnhevNpfyB++fIlFi9eDHl5eTAYDBgaGiI8PBy3bt3qltFVXV2NIUOGICAgADdu\n3MC9e/ewdu1aDB48GFOnTu21Gt6tra3YvHkzMVIcHR3h5uaGQ4cOEZ1t1t/evn0bQO829HoLGhsb\nkZ6eDhcXFwgJCUFYWBgmJib4559/vst4qHeotLQU+fn5eP/+Pa5fv46MjAyUlJRg586dkJKSgoSE\nBEdEozdj6NChSE1NBcB+SN2+fTs0NTW7zeZMlczMmDEDxsbGMDAwgJ+fH86dO0fel55AdXU10tLS\ncP78efz111+0t0/do3+TwUvtkxUVFYiMjIScnBxUVFRw+vTpXusk+56gnrGLiwuCgoKQmpoKGRkZ\n8n1eXh4GDBjQY9lWQJuSzNOnT7Fv3z6YmJigX79+kJaWhqen52cZ6ak52V6+eNOmTTA2NgaTySTP\nOzw8nJSi9CZQ1xAaGgpDQ0NiKDY3N+Pq1asQFhYGDw8P1NTUiKIEXSgrK0NkZCSMjY3Rt29fiImJ\nYfny5cjOzu5RMsTW1laUlZUhNTUVvr6+kJCQwIABA6CmpkbkhX/g67C2tkZeXt73Hsb/FH4Y9F9B\n+xSrT58+4Y8//oC1tTUkJSUxduxYeHl54fjx48jOzu5x4+BbbxLUZlpQUAA+Pj5yOBYXFyfs4Bcv\nXsTs2bN/GPFdQGtrK1dz5XMH2MzMTDg7O6NPnz4YOnRol9qkxrNr1y6oq6tzfJ+amgoxMTFSGtCb\n0dTUBF9fX5iamkJdXR0TJkzA0qVLcerUKbx8+f/s3XlcTfn/B/DXbVGiKGkjoUUKpU3ZQmiypIww\nyST7vjO2se8a2xikLDF2mQoJSbRqVyItEqXSJu11u+/fH773/jTMDCo39Xn+Rec87ud97z33nPP+\nnM/n/UkT7Pe9D40Xhnfv3glqdwjryQX/WP3pp58EI0gmTZpE3bt3pw4dOtDEiROpW7du9VYM9FvI\nyckhMzMz2rRpk+BvlZWVxOPxKC0tjRQUFOr8JKyqqori4uJo48aNNHToUDI0NKShQ4fSsmXLyM/P\nr65v4Zvh/27LysqaRBLML2q6Z8+eep8L3lR4eHiQkZERKSsrk5WVFeXm5pK/vz8NHz6c7Ozs6r29\nT10beDweFRcXU0xMDG3duvVf1ywn+v/li01MTGjmzJl08+ZN6ty5M507d67WfpMnTyZHR8f6fgt1\nxv8MevToQa6uroK/X7t2jYyNjcnGxoa8vb1JT0+PtLW1662zn//Qgv8w6tmzZ7R+/XpSV1cnERER\nMjU1pT179jTYlFI+LpdLGRkZdOXKFRo2bBjFxMQ0aHtNRVRUFElLSwv+f/HixX/shGH3YPWHJfT/\nYcWKFYJh63/vAU5LS6OtW7eSiYkJKSkpkamp6Te5ufiWFwn+j83FxYXMzc2JiOj8+fPUpUsXwcn2\n3r17pK6uLnjv7Af6Hj/pSEpKosOHD5OTkxPt3bv3oydiX5vY5+Tk0I0bN2jt2rV07NixjzqfvrZ3\ndO3atWRlZVUrPv53OmnSJJo7d+5XvW5D4sd348YNOn/+vGBYYElJCXl5edH8+fPJyMiIevfuTVZW\nVrR7925hhsvUg+LiYlJSUiJNTU0aOnQorVy5kjIyMig/P19QdZo/L7yxP8Hl38CuWbOG5OXlBcsA\nEr1P6l1cXEhJSale2+SvvrJw4ULq2bMnrV69moi+j/M3P8ajR4+SpqYm+fj4CD7Dxjji5sN5yHv3\n7qWrV6/S+fPnKSgoiKqqqiglJYW2bdtGgwYNop9//vmjEUXNTVxcHD1+/Pij0Whubm7Ut29f0tXV\npS5dupCIiAgtWrSIkpOT67X9D38D0dHRdOXKlY+S1Zqamv9cOeXD5YuHDx9Oenp61LJlS5o7dy7d\nuXNHcA8lIyNTL3PBG0JOTg7p6+vXmhvPXxqUn1A/ePCAevToUefCmh8qLi4mS0vLWp87j8ej4OBg\nmj17NnE4HNqxY0e9tfdfGut0iMbo9OnT1K1bN8rIyKA9e/bUy5KJzH9jCf2/4HK5ZG9vL3gqvXjx\nYtqyZQvdv3//ozkqwcHBgh7Mb1Hs51tfJIKCgkhHR4e4XC6NGTOGlixZIti2YMECGj58OBE1zpsp\nYfjwczAwMKBOnTrRDz/8QFpaWiQlJUXm5ub0559/Cm5YPvcmmv+64eHhNHz4cJKQkCBzc3NSVVUl\neXl5WrFiRZ2LWwUFBZGIiAgdPHhQUEWf6P3TsB49egiWL2ts33VeXh7p6enRzp07qby8vFY11bdv\n39Lbt2/Jy8uLhg8fTs7OzkTU+BM9YaipqfkuPhcej0ePHj2izZs3k42NDZmZmdHgwYNp/fr1dO/e\nvQZfo7ohVFZW0vTp0wXrkTs4OJClpSVpaGjQwYMHG6zd3NxcevPmDRF9X7+J6OhocnR0JFNTUzpy\n5Iiww/lP48aNI1lZWWrTpg3p6upS+/btSVxcXFBEkD9tit953lxZWVkRh8MhS0tLcnd3r1XhPDs7\nmy5cuEAXLlygyMjIBu2AWrp0KWlpaQm+lwEDBtChQ4c+uYLDfyktLaXAwECaN28emZubk5GREY0d\nO5ZsbW1JXl6+AaKvH+Xl5TRq1Cj64YcfKCMjg44cOUJt27alwMBAInp/vkhNTSVlZWV6/fr1V7fD\nP++Eh4dTeXk5HThwgLp27UpE7+81qqurPyraW9fppHzfQyfm9yQzM5NMTU3JyMiIOnbsSFOnTqXi\n4mLWKdLAOEREYP5Tbm4uxo0bh5KSEkhJSaFbt24wMjKCiYkJ9PX1ISIiIpS4ysrKEB0djQsXLuDx\n48coLS1Fp06dQEQIDAxEbm7uV782j8cTvC8ul4uRI0eisLAQkZGRiI+Ph66uLtzd3bF161bs27cP\no0aNQk1NDURFRevr7X33Lly4gF9++QXh4eEQFRVFVlYWoqKi4OPjg6CgIGRnZyMtLQ1qamqf9Xr8\nz3fo0KFQVlbG2rVrISsri8zMTNy8eRNnzpzBypUrMXXq1DrFvXv3bpw8eRJGRkbQ1taGgoIC7t69\ni7CwMDx79gwSEhJ1ev36xD9Ot2zZgjt37uDSpUtQUlICj8dDQEAAFi1ahISEBPTq1QsuLi7o06cP\nKisrISEhASICh8MR9ltoFJ48eQIdHZ1af6upqYGIiEij/4zKysoQERGBy5cvIy4uDuXl5VBRUYGB\ngQHGjRsHXV1dYYdYC/+4S0lJwY4dO9CnTx/MnDkTAFBUVISAgABEREQgJiYGIiIiWLVqFUxMTCAu\nLi7kyBuf/Px8nDhxAjt37kSXLl2wdu1ajBgxolGdo/hKS0vRqlUrZGdnIy4uDgBQXV2N8PBwvHnz\nBjIyMkhKSoKDgwN+/PFHcLlciImJCTnqb6+iogL+/v44fvw4fH190aJFC1hZWcHBwQFDhgyBpKRk\ng7XNv8Z6e3tj6dKl2LVrFzQ0NNCnTx9YWlrC19cXMjIy0NXVhaenJ9q2bfvFbeTn5+P+/fvw9PSE\nn58fFi9ejJUrVzbAu6kfN27cwJYtW/Dy5UtUV1dj9erVWLp0qWC7s7MzTp8+LTim62LEiBEoLi7G\ns2fPYGtriyNHjnx0f33//n0QEQYNGvTV7aSkpEBBQQEyMjKCv/HTocZ+vfsevHr1Cr/++itOnz4N\naWlpmJiYYOTIkejbty/U1dXRrl07YYfY9AixM6HR4/cYfvjEIiQkhNasWUODBw8WzM2dP3++oLK2\nMOXl5QnWuFdWVv7qpY74vZU3b96k8+fPC4aIZ2ZmkpOTE6mrq5OEhAR169aNOnbsSBs3bqy399AU\nrF27VlBf4O7du7Ry5cpa23k8HuXl5VFwcDCdOHHii1+/rKyMZGRkKCIi4qNtM2fOpL59+wqetn2u\nhISEWv8vKCig33//nWxsbKhPnz6kqqpKo0aNEgypa0xP8fjHq6amJh0/flzw95s3b5KZmRmZmprS\n4cOHydjYmExMTOqlMGFTU15eTr169aLhw4fTzp07Pxryy+PxGtV3/m8+PA9qaGgIlklrjKysrGj6\n9OmCqvYf+h5HGHwL/JFBT548qXWei42NpbVr15K9vT2dPHlSSNHVzd+XBGPe/57d3NwEa22rqqrS\n4sWLKTw8vEEK4fHPc1ZWVoKVJTZt2kTm5ubE5XIFc+fnzJlT57Z4PB6lp6d/1fLF31JVVRX5+PiQ\nm5sbxcfH17p+Pnz4kIyNjcnFxaXO7VRUVNCFCxfIycmJOBwO6enp0fDhw2nNmjUUEBAg+O2rq6vX\nedqcpaUlOTg40JEjRyg2NvajEYf/VEme+Xx//fUXWVhYUEBAAFlbW5OMjAwpKSnRhAkTyN3dneLj\n44UdYpPCEvrP9PeEp7y8nLy9vWnevHmkqalJ27dvJ6LGMXSnPi4SHw5f/nAeW1xcHLm7u9PVq1fJ\n1dW1VuXixvDehS0jI4MMDQ2pW7duZGJiQtOmTaPevXv/4zD4r/nM0tLSyMjIqFaRGr6YmBhSUlL6\nosrVPj4+xOFwyMTEhA4cOFCr0FlVVRXFx8dTWVlZo17iLTMzk3r27ClY1oXo/aoMEyZMEBSZOnPm\nDPXo0eOTyVNzl5ubS1u3bqWff/6Z+vfvT0ZGRjRp0iQ6c+bMR4XvvpfEnsfj0YsXLxrdzTL/N+/n\n50fq6uofDd/l8XiCfTw8PJpE0beGoKSkRBwOh8zMzGjWrFlkb29P2traJCkpSRwOh/bu3SvsED/b\n9/Kb+tb+PkQ3NTWVNmzYQN26dSMOh0PW1tYN0m5VVRX1799f0DFvYmJChw8fJqL313gHBwd68uRJ\ng7TdGPCPxzNnznzywQF/+7t372jatGk0fvz4ehv+TkR0584dWrx4MZ04cYKmTJlC/fr1IxMTE/rh\nhx/I2tqalJSU6tSZ8+7dO1q2bJlgyuqQIUNo4cKFdPbsWVbcuZ59eP2tqKggV1dXMjc3Jw6HQ9On\nTxdiZE0PG3L/L+h/wyKjoqIwZ84cDBgwAP369YOxujQ/LAAAIABJREFUsTFUVVUF+2VnZ0NMTAzy\n8vK1hql/j/5p+HJNTQ0CAwOxcuVKREZGQldXF0ePHkW/fv2EHXKjUlNTg/j4eCQkJCAkJASPHz9G\nTEwMVFRUMGfOHNjZ2UFFRaXO7cydOxf+/v747bffYGxsDAUFBQDAli1bcOHCBSQkJHz2a5WXlyMo\nKAgeHh64fv06CgsLMWLECNja2sLW1hYtW7asc7wNrbi4GBMmTIC2tja2bdsGV1dXbN68GR4eHjA3\nNwcAJCcnY9CgQYiJiRF8Xkxt1dXVuHDhAtzc3BAYGAhFRUWoqqrC0NAQNjY2GDBgAKSkpIQd5neN\nf461s7ODtLQ0Tpw48cn98vLyYGpqCmdnZ9jY2HzjKBu3goICjBs3DllZWdDT04Oenh46dOiAvLw8\nxMXFISsrC/v370f37t2FHSrzlSorK3H8+HEYGhrCyMjoo6l8QUFBKC0thaWlZb23XVhYCFdXV3Tv\n3h1DhgzBiBEj4OTkhClTpuD169fo2bMnYmJi0KlTp3pvuzEZM2YMrl27hm7dumHMmDHYvHkzWrRo\nIdiem5uL+/fvQ09PD5qamnVuj4gE07w+nO4ZGxuLe/fuISEhARwOBxYWFnBwcKhze1wuF/fu3cP1\n69cRGRkpmKqlr68PMzMzGBkZQVFRsc7tNDf5+fm4du0a0tPTUVlZCVVVVVhYWEBLS0uwT2ZmJkpL\nS2v9jakbltD/C35C7+3tjYULFyIrKwuKioro1asXDA0NYW5uDgMDg6+aQ9VY8d+zlpYWVq1aJZiL\n7evri02bNoHH42HKlCk4deoUREREEBwc/F13YDSkoqIiPH36FDExMbh//z4SExNRVlYGAwMDjBw5\nEuPHj//qeZ4vXrzAnDlzEB0dDTMzM6irq8PPzw8A8Msvv8De3v6LX5OIwOVyoaSkBCUlJaSnp0NM\nTAxjx47FxIkTMWzYsEY9t2z37t1Yt24dZGVlISoq+tG8xF27duHixYuIjo7+7jve6tuHtS/s7Owg\nLy+P0aNHIzs7G7GxsfDy8kJpaSkUFRWxdetW2NraCjni79/AgQMxYcIEzJkz55PHIhFh/vz5UFRU\nxPr164UQYeNWU1ODY8eOISIiAsbGxpgzZ45gW1VVVa3Eg/l+8M9FR44cwbFjx+Du7o5evXqhoKAA\nt2/fRkFBASZMmPBN5uAWFxdDWloaU6dOha+vL9auXQs/Pz+kpaUhNja2wdsXBv49YGFhIWRlZVFd\nXY2TJ0/iwoUL8Pf3b/B2iQjPnz+Hu7s75OTk0KtXLwwZMgTA+xoU4uLidf5t83g8AKh13i0sLISv\nry9u3ryJp0+fQkxMDDIyMpg1axbGjh1bp/aaA/49lb+/P9asWYOUlBTB5ywhIYGOHTti3rx5cHR0\nbNT3kd81oYwL+I5UVFSQk5MTTZ8+nXx9fWnfvn1ka2tLMjIy1LVrV5o0aRKdOHGiSc13ZMOXvx5/\nKNrfh6dnZ2fTnTt3aMeOHTRmzBiSlZUlT0/POrd348YN+vHHH2no0KE0d+5cunfv3hcN4+cP7+XH\nHRMTQ/Ly8pSdnU3Pnz+nQ4cOUf/+/YnD4VBiYmKd421osbGxtH37dnrw4EGtYayJiYlkYmIimGPf\n2Cr0Cxv/s7p48SIpKyt/NEz93r171LVrV7KxsREsVcSm2Hw9LpdLkydPph9//PEf96msrKRu3br9\n6zrXzRn/NxwQEED6+vrUrVs3OnfuXK2VOZjvD/9c1KNHD9q3bx8Rvb9+jhs3jtTU1EhdXZ02b978\nTWPKzMyk8ePHk5ycHNna2lJoaOg3bf9b4p/X169fT3Z2dnT06FF6+vTpR9v//u+64v+ef//9dzI0\nNKQhQ4YQh8OhMWPGEI/Ha5AK6TU1NVRZWfnR+0hKSqKDBw+Subm5oJo/899KSkpIR0eHZs2aRWFh\nYURElJ6eTr///jvp6+uTqKiooL4Juwerfyyh/wf8g+3AgQOkq6v70cHn5eVFysrKZGFhQZ07dxbM\noW8K3r17R1ZWVrRkyRIqKyujAwcOULt27SggIECwT1JSEqmoqHzRXO3mgH+cuLi40LJlyz45H+vV\nq1fk4eHxVSe0iooKOnnyJP3222906dIlQXJVWVlZp3mY/Plv06dPp/Hjx3+07cML+vcmLy+PBgwY\nQCNHjmTzkf/D9u3bqU+fPlRUVEREtef2LlmyhPbs2SOs0JqcHTt2kJiYGHl7e3/UIVxdXU1Xrlyh\nNm3aCCm6xufDeb0DBgygFStW0PLly8nNzY2Cg4Np/Pjx1L17d9qzZw+7WfzOvX79mhQVFQXz1Feu\nXEnDhw+nBw8e0K5du6hfv36UlpZWr23yj6/CwkIKDg4mX19fun37Nr169UqwT2VlZb3OFW/MvLy8\naOXKlWRnZ0dDhw79qqX6voaSkhIdO3aMiIj69+8vuLe+cuUKLV68uNYShl+Dn7x/mMR/eJ1j544v\nx//8nJ2dycDAQHA9+/s9qaOjI2lra1N+fv43j7E5aH7roXwm/vDTp0+fomPHjoJhYNXV1RAXF4eV\nlRVGjhyJUaNGISkpCVu2bMFPP/2Ezp07CzfweiAtLY1BgwZh3bp1OHv2LERFRbFy5UrBXGQAuHr1\nKhQVFaGgoMCGL3+Af9w4OztjypQpaN++PQDg6NGjiIuLg6amJpYsWYKOHTt+9mvyP9+kpCQsXLgQ\nMTExkJCQQGVlJRQVFfHTTz9h9erVXxwrf77pwIEDBUP/vby8cPz48Vr7SUhIQFtb+4tfv7Fo3bo1\n1q5dCyUlJYiLi7Pj9V9YWVnh4MGD+OOPPzB//ny0bt1asO3Ro0eCYa7sM6y7RYsWwdvbG/PmzcPi\nxYsxdOhQyMvLQ0VFBe7u7nBxcak1jLy54x9vCgoKUFZWRmpqKiQlJXHv3j0kJiZCXl4emZmZ8PLy\nwvLly4UcLfM16H/DrkVERGBgYIDLly+jbdu28PT0xM6dOzFgwADIysri4MGDUFZWrvd2AWD58uXw\n8PAAj8eDhoYGOnfuDENDQwwYMAC6urqQk5NrFsudWltbw9raGunp6YiLi4OSklKDtcW/nvj4+EBC\nQgIzZsxAcnIyHj16hD///BMA0LVrV2zZsgULFy6sU1tlZWU4c+YMuFwuHj9+DHl5eYiJieHp06fQ\n0NBAfn4+srOzwePx4ODggPHjx9fHW2zS+L+Fq1ev4qeffoKkpKTgO6X/TeUUFxfHzJkz4e/vj9jY\nWME0CqYeCbc/ofG7desWKSsr05UrVz7a1rt3bzpz5gzxeDzq1asXubm5CSHChsOGL38Z/mcUEhJC\ncnJyxOVyicvl0pkzZ0hGRoYGDRpErVq1ogsXLhDR5w9X4w/ft7e3pxEjRgimOaSmptLq1atJQkKC\nFi9e/MXxHj58mDp37ky2trZ05MgROnjwIKmpqdXahy3x1rzweDzavHkzSUlJ0dChQ+nYsWN06tQp\nGj9+PMnLy7Ph9vWE//klJiaSjY0NSUhIUNu2bcnAwIAUFBSIw+HQhg0bKDc3V8iRNm7FxcWC609c\nXBz5+fnR8+fPhRwVU1c1NTW0Y8cOEhUVpe7du9dasWDJkiU0ePDgBmk3NDSUpKSk6O7du5SWlkZH\njhyhH3/8kfT19alfv35kbW1NL168aJC2GaKrV6+ShYUFERFt3bqVhgwZIth25swZ0tDQ+OrX5p9z\nf/vtN+JwOGRubk6zZ88mU1NTmjZtGjk6OhKHwyF7e3tycnKiPn360OPHj+v2hpqR0tJSsra2FkyT\n+ZSKigoaNGhQvSxxyHyMJfSf8PdhIvw1MW1tbenKlSvk5eVF9vb2JCcnJxiaqqio2KTnVfGx4cv/\n7MMLBv+idOvWLRo5cqRgzdQlS5aQk5PTV72+srIy+fv712qLiGjv3r1kYGBQa2jg54iOjqbt27fT\nhAkTyMzMjJSVlUlLS4tOnz4tSNyY5uPD815oaCjZ2dmRjIwMaWpqkpWVFZ0/f56IWDLfECIiIsjZ\n2ZnGjRtHq1atEvzOmfc+PObCwsLIzc2Nbt68Sc+fP2fH43eO//0lJSVRVFRUrW1FRUWUkJAgODe5\nurpS9+7d67WuxL179wRD+48ePUozZsz4aJ+4uDjatGkT2dra1lu7TG08Ho/y8vJIQUGBtm7dSqqq\nquTu7k5E76dgDBo0iFasWFHndh48eEAGBgb0448/1ppGsHv3bjI0NKR3797VuY3mhv8bXrRoEWlr\na9eaQvZhPamCggJq1aoVPXv27JvH2BywKvf/Ql9fH6dOnYK+vj6uX7+Ow4cP4969e2jbti0MDQ0x\ndepUjB07Fnv37sWBAweQnp4u7JAbXGVlJQICAqCkpAQ9PT029PYTwsPDMWLECNjb28PPzw+WlpZY\nuXIllJWVMXHiREhLS8PV1bVWZfH/8ubNG9jY2OCHH34QVLyuqqqCuLg40tPT0adPH9y/f/+rhsa/\ne/cOYWFhCA4ORlRUFN68eQNJSUno6+ujb9++GDduHMTE2Oycpq64uBh37tyBrKwsVFVVoaGhAQBI\nSUlBp06dWNVwRujWrFmDa9euobq6GklJSXB1dcW0adPYdagJWLx4MW7fvg1jY2MMGDAAQ4YMQdeu\nXQXbKysrcfbsWaSlpWHLli310mZOTg50dHRgYGCAgQMHQklJCffv38eBAwe+SRX95ox///PkyRNo\nampCXFwcAHDz5k1s3LgRT548gb29PZSVleHn5wciwpUrV+plqkVgYCA2bNgASUlJODs7Q0dHBzo6\nOrC3t8e6devA4/HA4XCa/LSK+nb37l3Y2tpi9OjR2LVrV62ppcXFxXB2dsbVq1cRHx8vxCibLpbQ\n/4MnT57AzMwMycnJaN++vWA5DfrfkhqqqqqQkJBASkoKDh48CC0tLcyfP1/YYTNCkJ6eDhUVFYiJ\niQkuAEePHsWJEyegoaGBEydOQFJSEikpKejfvz+8vLzQp0+fz74J5XK5EBMTw9q1a3Hs2DEcP34c\n1tbWAN4n9adOncKGDRuQlZVV5/eSmZmJ4OBgBAcHIy4uDmVlZQgODmYJfRPFv6ny9vbGkSNHkJSU\nhLS0NIwdOxZnz5796mUVGaa+8M+TYWFhsLOzw7Fjx2BlZYWWLVviwYMHMDY2xq5du6CmpsY6H79j\nvr6+CAwMRFxcHHJyciApKYkePXpg2LBhsLCwgIyMTL22R/+bB3/9+nV4enrC398fRIT09HTMnj0b\nP/30E3R0dFhi38A0NDTw6tUrTJo0CVOnTkW/fv0QFBSEU6dOISkpCZWVlejevTu2bdv2RbWH/ktS\nUhIWLVqEVq1awd7eHj///DPi4+PRpUuXemujOTpx4gRWrVoFKSkpmJmZYeDAgZCSksKhQ4cgISGB\npUuXsmUAGwhL6P+Gf/Pw5MkT/P7771i6dCk0NTVRU1MjKNYC/P/FoKysDKWlpWjbtq2gh5FpXkaM\nGIHt27dDX18fr169gqqq6kf7pKenY8uWLXjx4oVgvfgvVVVVhXnz5uHGjRuQk5ND7969kZubi9TU\nVCxcuBALFiyo61up5fHjx8jJyYGFhQV7AtbE6erqYsSIEdizZw9++OEHaGtrY//+/fDz88OjR48w\ndepUyMrKCjtMphnidzpNnz4dZWVlOHfuHH7//Xe4ubnh0aNHAIA9e/YgMDAQ3t7eQo6WqasPO5UT\nEhJQVFQEWVlZGBsbw9zcHMOHD2+QdsvKyuDl5YW//voLQUFBaNeunaDNnj17QltbG1JSUg3SdnNF\nREhISIC/vz/Onz+P8PBwqKurY9asWZgwYQJatWrVoNedly9fYsGCBbh27Rr09PQQHh7OCufWUWVl\nJTw9PXHx4kU8efIEr1+/Rk1NDQYMGIDNmzfD2NiYjXxoICyh/wcDBgxAdHQ0VqxYgY0bN9baxq90\nzzBFRUVwdnbGli1bUF5eDmtra+jp6aFfv34wMDCAmpoaAKCgoACRkZFQVFSEnp7evw6353cWpaSk\nYMeOHejTpw9mzpwpaC8gIAARERGIiYmBiIgIVq1aBRMTE3ZMMl+Ef5zxp4jk5eXh3bt3UFVVRUBA\nAHr37o3Q0FAsXLgQJ0+eRI8ePYQdMtOMzZ49G23btsXOnTthZGSEcePGYdWqVQCAyZMnQ0pKCi4u\nLkKOkqlPiYmJePDgAcLDwxETEwM1NTVcvXq1XtsgIvB4vFrX49evX+PMmTPw9PREVlYWREVF4eLi\ngqFDh9Zr28x7PB4PRUVFSE5OxsWLF3H9+nUkJyfD3NwcU6ZMwejRoyEnJ9dg7W/btg3e3t6YMWMG\npk+f3mDtNDcJCQmoqqqCsrIyZGRkICUl1SxWiBAWltADHx1gOTk52Lp1q+BioqWlBRsbG9jZ2aFX\nr15CjJRpzF6/fo1ly5bh5cuXqKioQKdOnWBgYIC+ffvCxMQE0tLSX/R6I0aMQIcOHTB79mwYGhrW\n2lZRUQFJScn6DJ9ppi5evIijR4/i3r17cHV1xR9//IHIyEiIiYnh9u3bmD59Ol6+fCnsMJlmzsPD\nAwsXLsSBAwcwZcoUvHr1CrKyskhKSoKpqSl8fHxgamoq7DCZBsDlchEaGooWLVqgT58+9fa6/I71\nwMBABAcHw8bG5qM6NNHR0Th58iTWrVsHRUXFemub+WcJCQmIiYnB+vXr8eLFC9jb2wuWr6tP/Cfx\nBQUF2L17N5ydneHg4ICTJ0+ypPMr8acmsxEO3x5L6P8nNDQUZmZmgvnKZWVlSE1NRWxsLMLCwhAd\nHY2CggLIy8tj1qxZ+Pnnn4UdMtMI8Hg8EBFERUUFw+1fv36NmzdvwtfXF6mpqZCSkoK8vDwcHBww\nbty4f309fufS3bt3MWvWLAQFBdVa/5X/c+VwOLh69SpGjx7NnswzdVJQUICePXti9+7d2L9/PyZN\nmoTFixejvLwcTk5OEBcXF6zby+YnM98a/waRiLB8+XJ4eXmBiLBixQpUV1fj6tWraNWqFXx8fIQd\nKvOd4Sd0AwcOhJmZGZYsWQIlJSUEBQUhJiYGQ4YMga6urrDDbFL49zjv3r1DXl4eAODWrVuorKxE\ndHQ0Xr58ibKyMsTHx0NLSwsFBQVwdXXFDz/80OCxnThxArGxsTh48GCDt9UcsKfx3xZL6AHExcVh\n2LBhyMnJAZfLRWpqKrp16ybYXlBQgCdPniAuLg4+Pj6wsbHB9OnT2TwbRiA5ORmOjo64ffs2Wrdu\nLfh7QkICbty4gStXrmDdunWwtrb+1+OGv83Ozg7S0tI4ceLEJ/fLy8uDqakpnJ2dYWNj0yDviWk+\nXF1d4erqivj4eKxYsQKmpqa4dOkSwsPDcf78ebaiBfPN8G8Ci4uLwePx0KZNG8G2lJQUnDlzBv7+\n/igpKUFeXh4mT56MefPmoUOHDkKMmvne8I+z9PR0aGtrIykpCaqqqggJCcHEiRPB4XDw6tUrXL9+\nHSNGjBB2uE0Gf1TEnDlz4O7uDmlpafTs2RO5ubno3bs32rRpg549e8LAwACioqLQ09Nr8Jj4Ve2r\nqqpQUVFR65zDMN8LltDj/ZJgeXl50NHRgYeHB+zs7GBgYAB7e3s4OTnVKsrx6tUrKCgoQEJCgvU+\nNWP85ObWrVuwtLTE8uXL8ejRI9y5cwcVFRXgcDh1qhA+cOBATJgwAXPmzPlkEkVEmD9/PhQVFQXL\n2DHM5+Ifvx4eHrCwsIC4uDjc3d3h4eGBwsJC5ObmokOHDti7dy/69u0r7HCZZmjr1q1Yv349xo4d\nCycnJ4wYMUJwvc3Pz0d6ejp69uxZa3URhvlc/HPgoUOHcPnyZdy/fx/Jycn49ddf0aJFC7i6umL6\n9OlQUlLC7t272TFWj0pKStClSxfU1NRAX18f1tbWmDlz5ieLDrL77MaL/xsqLCyEiIhIrY4Q9r19\neyyh/5+SkhK0bt0aGRkZuH//PgICAnDnzh3Bk9AZM2ZgwoQJANiByrxHRNDQ0EBmZiZatGiBefPm\nYceOHYLt/J5od3d3tGzZEuPHj/+s162pqYGTkxPKyspw5cqVT+5TVVWFXr16Ye/evezpAfNFqqqq\nBGvKi4iIICUlRbDec3l5OeLi4tCxY0fIycmhZcuWwgyVacZevXqFW7du4erVq/D390fr1q0xduxY\nTJs2rdY8anY9ZurCx8cHCxYswLJly3Dt2jXIyMhg48aN6N69OxYuXIisrCxcvnxZ2GE2KUSEx48f\nw8vLC5GRkcjMzIS0tDSMjIxgYWGBQYMGNciSqS9evEDHjh0hJiYmOG/8fQUr5vPx73GXLl2K/Px8\nrFmzptbo5n8r/szUP5bQAwgPD8fIkSPh5eUleBpVWFiI9PR0hIeHw8fHBw8fPkROTg4CAgIwcOBA\nIUfMNAbl5eV4/vw5Tp48ib1796Jt27YQFRXFqFGjMGvWLEGBpnbt2sHNzQ22trafffO5c+dO/Prr\nr7h69SqGDRtWqwAel8uFl5cXpk2bhrdv3zbY+2OaFn5v+okTJ5CSkoLc3FxEREQgNjb2o32rq6vB\n5XJZQs8IXXFxMV68eIHr16/j8uXLiI+PR+fOnTF//nzY2NgIVhJhmM/14bSOyspKbN68GVFRUXj7\n9i28vb2hrq6Ot2/fonfv3tizZ89/1r5hvl5ZWRkiIyNx6dIlxMfHo6ysDCoqKjAwMMC4cePqXMPg\nw8KHx44dg6OjI1utoB5VVlZCSUkJV65cwZAhQ8DhcDB16lRER0dj9OjRWL9+Pavz9I2whB7v19ue\nOnUqiouLsW/fvlrFN3g8HvLz85GUlISgoCAsXry4QXoOme/Lh0sXhoSEIDo6GqampvD19YWPjw/i\n4+MhLS0NdXV15OXl4enTp1/0+uXl5bCwsEBGRgYWL16MoUOHQl5eHioqKjh+/DhcXFxgYWFRa0QA\nw3yOBQsWIDg4GI8fP4auri4cHR3Ru3dvGBgYCFZi2L9/P+7cuYMbN24IOVqG+X9ZWVlISEjA/v37\n4ePjAxEREZSXl7MbRuaL8At8LlmyBGpqapg4cSKys7PRtWtXyMjIoLCwEK6urjh9+jQeP34s7HCb\njfz8fNy/fx+enp4IDQ3FunXr4OjoWKfX5Cf0w4YNg6amJvbu3QtJSUlcvnwZBw8ehKysLPbt2wd1\ndfV6ehfNA/8BgZubG/bu3YsnT54gLy8Phw4dgru7OxwcHODs7Izz58+zOk/fCEvo/6ewsBAzZ85E\nVFQUNm7c+Mkq9mz4CAMASUlJMDMzQ0ZGxkdPMMvLy5GdnY3ExEQ8fPgQxcXFGD16NAYNGvTZxw//\n6cGzZ8+watUq3Lx5Ey1btkTXrl2RkZGB3NxcrF+/HvPnz4e8vHxDvU2mCQsLC8OPP/4IPT09ZGVl\nQUpKClpaWjA1NUXXrl2xYsUKTJo0CStWrGDV7Zlv7vXr12jdujVCQkKQlZWFrKwshIaGAgCCg4Mh\nJyeH8vJyDBgwABcuXBBytMz3qnPnznB1dcWwYcNq/f3Jkye4evUqevbsiTFjxggpuuaLiPDy5Uu0\nb9/+k/Pqv1RZWRkUFRURFRUFLS0teHt7Y8GCBbCysoK/vz9sbGywe/fueoi8+dmwYQMeP34MDw8P\nuLi4wNvbG46Ojhg/fjxmzZoFUVFRHD58WNhhNgssocf/J1CZmZlYtWoVPDw8sG7dOixevBhSUlLs\nhpapJScnB6GhobCxscGNGzcwduxYLF26FFOmTGmQ+UORkZG4f/8+wsLCoKGhgeHDh2Pw4MF1fl2m\neTlw4ACsrKygpaUFLpeLpKQk6Ojo4OHDh7hx4wZCQkJQWFiI0tJSyMvLw9/fXzDXnmEaGv86fPv2\nbcybNw85OTno1asX3rx5AyUlJXTt2hXt2rWDlZUVeDweTExM0Lp1a3ZtZr4I/8lifn4+Nm7cCEtL\nS4waNUqw/cNpcewhTtNw7949zJkzB7du3YKoqCimT58OQ0NDbNu2De7u7vjjjz/g5+cHGRkZYYf6\n3QkNDcWYMWOgo6ODsLAwHDx4EJMnT0bLli1hYmKCiRMnYunSpcIOs1lgCf0nHDhwAHv37sW0adNY\nBXHmXz179gzHjx+Hj48Pnjx5Aj09PTg5OcHBwQFycnLCDo9hALwfOWJlZYXz589DWVkZJ0+eRM+e\nPWFkZCTYh8vlIjAwEFwuF4aGhpCTk2MFx5hvbvLkyTh79ix69uwJc3NzLFu27JPz5NkyiszX4B83\n8+fPh7u7O3r37o1Dhw5BU1OT1QxpooqKiuDg4AAASE1NhZaWFg4ePIhOnTrh4MGDOHPmDCIiIoQc\n5ffrypUrePjwIVRUVLBkyRLU1NTA19cXkydPRlpaGlsG8BsR3bhx40ZhB9EYfHjj2qtXL4iLi2PD\nhg2IiYmBiYlJraXrmOaNf6yUlJQIitNNnToVFhYWKCwshJubG3bt2gVPT08MHjwY7dq1E3bITDMn\nLi4OU1NTdOnSBc+fP8fcuXMREBCA27dvIzs7G23btoWCggK6dOkCdXV1wY0tS+aZb01WVhadOnUC\nj8dDSkoKPDw8EBsbi9LSUqioqAgKhLJjk/ka/OMmMTER2dnZePjwIXx9fVFYWIgWLVpASkoKkpKS\nrLOoCZGUlESLFi3w7Nkz9O3bF7/++ivU1NSQnZ2N5cuXw9HRsdbKGcyX6d69O4YPHw4zMzMAQHx8\nPE6fPg1DQ0PY2toKObrmo1k+oecnZKWlpXj79i2UlJRQWVmJ7OxsdO7cGYWFhRAVFUVISIigWvmp\nU6fQqlUrYYfONAL8YXjOzs64fPkyHj58KNjG5XKRlZWFoKAgnDp1Cu7u7lBSUhJitAzz/4gI1dXV\nuHfvHsLDwxEVFYWsrCyIi4uje/fuMDc3h5WVFeuEYoQuIyMDwcHBCAkJQUJCAoqKiiArKwsTExMM\nHjwYFhYWwg6RaQJSUlJw6NAhnDt3DoWFhTA1NcWYMWOwePFiNp2jCeJPoS0tLcXmzZvx8OFDQZ0i\n5r/x86eKigr4+fnB29sbr169gpaWFrZv344rvZDDAAAgAElEQVRWrVrh7du3ePr0Kbp27QpFRUVh\nh9xsNOuEfsSIEcjOzkZmZiZkZWUhKiqK9PR0KCsro6amBhkZGeByuejWrdsXVylnmr5t27ahqqoK\nmzZt+uT2D9f7ZpjGKCsrC8HBwQgNDUViYiKePHmC5cuXY968ecIOjWEEEhMT8eDBA4SHhyM2NhZq\namrw8PAQdljMd+7v0zYePHiAHTt2oKKiAvfu3RNiZEx9un37NkRFRTFgwADBPVlNTQ2Cg4MhLi4u\neLLM/Dd+h8jWrVtx48YNqKurIysrC0VFRYiMjMS7d++QmpoKfX19NorqG2uWCT3wPtn69ddfISkp\nCVVVVbx9+xbi4uJQU1NDZmYm2rZtCxUVFeTk5EBbWxv6+vqsQAoj6AwqKCjA4cOH4evri5MnT0JT\nU1PYoTHMP/pwSlFJSQmSk5OhoaEhWKYOeF8P4u7duxgzZgw6dOjA5s8zjQ6Xy0VoaChatGjBhsgy\nX4WIkJiYiFu3bqF169Zo3749tLW1oampyYbZNxH8jpq0tDSsXr0a0dHRyM7OhqSkJAYNGoQpU6bA\nwsKCLUFdB+3atYObmxtsbW1hZmaGUaNGYe3atYiJiYGrqytmzpwJfX19YYfZrDTbhJ5h6uLPP/8U\nLG04YsQILFy4EGZmZrUSJIZpLPg3OEePHsWpU6dQUVEBMTEx9OrVC3Z2drCyshJ2iAzDMA2G/2Tx\n5MmTOHz4MN6+fYt3795BRkYGGhoaGDBgAPT19dGjRw906tRJ2OEydcD/rmfMmIGXL19i165d8PPz\nw2+//QYtLS0EBgaiY8eOGDt2LPbv3y/scL8b/E7+4OBgODo6IiUlBa9fv4a2tjaioqKgqamJpKQk\njBkzBpcuXULPnj2FHXKz0qy7I3k8nuDfNTU1AN4fsPy/ExFYfwfzdzU1NXBwcEBGRgZcXV3x5s0b\nWFlZwcjICBs2bEBUVBS4XK6ww2QYAREREbx79w5r1qyBqakppkyZAktLS7x69QqLFi2CmZkZZs+e\njZycHGGHyjAMU+/48+G3bNkCa2trJCcno0+fPujcuTNqamqwefNmLFy4EJ6enkKOlKkr/nf9119/\nYfXq1dDX18elS5ewaNEi3LhxA1ZWVpCWlkaXLl2EHOn3hT9iT1JSElJSUkhNTYW7uzt69eolGKUa\nFxeH4uJilswLQbOu+PHh8Cr+UHoOhyM4aNlwU+ZT+MeKiooKpk2bhmnTpiEhIQGnT5/G2bNnsWXL\nFoSHh9daEoxhhIXfq37r1i10795d8ESiqqoKKSkpiImJQVhYGIKDg9mQU4Zhmhz+OTAyMhIVFRVY\ns2YNSkpKEBgYiIiICGhoaGDw4MFo2bIl+vXrJ+xwmXoQHh4ODQ0NGBgYIDMzE1lZWbCxsUHr1q2x\ncOFCeHt7Y8aMGcIO87tkaGiIXr16Yc+ePbh16xb4i6XFxcXh8OHDmDBhgnADbKbY3RvD/Af+KI2k\npCQsXrwYdnZ28Pf3r7VdV1cXu3btQlJSEoKDg1kyzzQ6EhIS0NXVRVlZGQCgRYsW0NHRwaRJk7B9\n+3acO3cO7du3Z6OSGIZpUvgPZx49egQzMzOIiorC19cXGhoaUFBQAADY29ujf//+MDQ0FGaoTD1p\n3bo1LCwskJubi5cvX0JBQUHQYZ2Xl4e7d+9CSkpKyFF+P/gjl/Pz8wEAS5YsQWRkJNLT07F3715M\nmTIFw4cPh7y8PFasWCHMUJutZv2Enq+mpgYiIiLsiTzzSRwOB/n5+fjpp5/A4XDQtm1bjBs3DpGR\nkXjw4AESExMhKyuLn376CZ06dWIVU5lGg/9k6s2bN9i+fTtSU1Oho6MDJycntGnTRrCftLQ0tLW1\nAbCRSQzDNC386ZPm5uaQlpZGVVUVysvLwePxkJaWBj09PQQGBrKpck0Ej8eDjo4ONm/eDACQk5PD\nu3fvsGjRIowcORKHDh2CjY2NkKP8vvA7+ufPn48ZM2ZgyJAhCA8Ph4+PD65fv47Xr19j8+bNGDdu\nHOTk5IQcbfPEiuJ9gMfjgYhYJXtGgF9MbOPGjbh37x7Onj2Ltm3bYurUqcjKykJaWho4HA6ys7Mx\nfvx4uLm5sfVMmUbhwyr1sbGx2LdvH54/f460tDTo6OjAyMgIlpaW6N+/PzvnMQzTpPDPf39fnaio\nqAht2rTB69evMWTIEOjq6oLL5SIwMBC3b99mo+uaqICAAKxduxZPnz7F5MmTsXHjRsjKygo7rEbt\nw1Wd5OTkUFRUBFlZWWRlZUFeXv4f7xvYCjnC0ewSev7JPTk5GX5+foiIiEDPnj0xadIkwdCrD/dj\nmjf+iUlFRQW7d++Gg4MDgPfD89LT03H69Gmoq6vj8OHD2LRpEzw9PdkTeqbRKCsrqzWskL+e98OH\nD5GcnIzq6mpISkpi6dKlGD16tBAjZRiGqT/8a/fcuXPRvn17WFpaom/fvrX28fLywr59+wSd9NbW\n1kKKlqkP6enpcHNzg6ioKKZNmwZVVVXBvTwRoby8HCIiIhATExMUzmP+27x583DkyBEYGhqCiBAZ\nGSnYxn/olZ+fDzc3NyxfvpzlTkLSrBL6D5N0Q0ND5OXlQUdHB8+fP0dGRgaMjY0xY8YMTJgwAWJi\nYqyXqZnjf//x8fHQ09NDYWGhYJiygoICTp48iZEjRwIACgsLYW5ujpUrV8LBwYEdO4zQXbt2DWPG\njIG1tTUcHR1ha2sr2FZdXY2IiAiEhITgzp072Lp1K4yNjdlxyzBMk5GWlgZ1dXXo6upCWVkZMjIy\nGDhwICwtLdGtWzfBfpWVlWxN8u8U/5oVGxuLWbNmISUlBRwOB127dkVISAjExMRQXV0NcXFxvHjx\nAlVVVdDS0hJ22N+Vp0+f4v79+5g7dy4AoEuXLrC3t4ejoyM0NDQAAOvXr0dQUFCt+lLMt9WsEnq+\nCxcu4JdffkF4eDhERUWRlZWFqKgo+Pj4ICgoCNnZ2UhLS4OampqwQ2WEiH+hOHDgAFavXg1ra2uY\nm5uDy+XC2dkZ6enpgn2zs7OhoaGBZ8+eoUOHDiwxYoQuOTkZ3t7eCAgIQFBQEFq0aIGRI0di9uzZ\nMDExEexXXFwMaWlpIUbKMAxT/xITE2Fvb4/nz5/D1tYWpaWlSEtLg5iYGLp164ZBgwZh2LBh6NCh\ng7BDZb4S/wmxnZ0dWrRogaVLl+L58+fYvXs3hg4diuLiYty/fx/FxcWCpL6kpIR14Hyh/Px8zJkz\nB/Pnz4ePjw+uXLmC58+fw9jYGAYGBvDx8cGuXbswceJEYYfabDWbhH7dunUwNzfHsGHD4O/vj1u3\nbmHXrl2C7USEgoICPHv2DM+ePYOTk5MQo2Uak7i4OPj4+CA2NhYvX77EixcvIC0tjbVr12LgwIHo\n3Lkzjh07hn379uHp06eCCwzDCFtNTQ1yc3Px7NkzPHjwADdu3EBycjJ69+6NPXv2oHfv3sIOkWEY\npsG8efMGv/76K8rKyrBw4UIQEby8vBAdHY3CwkJwuVxMnjwZixYtEnaozFciIkhKSiIkJESwSoG+\nvj5evnwJAwMD9OvXD23btkWLFi1gYGDApkXWUU1NDQoLCxEREQFPT09ER0fD1tYWa9asEXZozVqz\nSOgzMzMxZswYlJSUoE2bNujZsyeio6Ph7++Ptm3bfrQ/e7rKfMq7d+8E63VHRUXhzZs3kJSUhJGR\nEU6ePInNmzdjwYIF4HK5bH4WI1T80/qH57HKykpkZWUhMDAQ7u7uaNOmDf78809WxJFhmCaJ37me\nmpqKNWvWIDo6Gn/88QeGDx+O1NRUhIWF4fr163B0dMQPP/wg7HCZL8S/V3d3d8fy5cuRm5sL4P29\nmqKiIi5evMjqItSjtLQ0dOjQQVCH4EMsbxK+ZpHQ19TUID4+HgkJCQgJCcHjx48RExMDFRUVzJkz\nB3Z2dlBRURF2mMx3JDMzE8HBwQgODsajR4+QkpKC58+fo0WLFsIOjWEE/mnlDl9fX8ydOxcXL16E\nsbGxkKJjGIb5dn777TeEhIRg1qxZGD58uLDDYerJ9OnT4enpiTFjxmDkyJEIDAxEfHw8/Pz8ALy/\nDnK5XIiLi7Ok8wvwO8RSUlJw9OhRnD9/Hm/fvsXo0aMxZMgQDBkyBEpKSmjVqhX7XBsB0Y0bN24U\ndhANTUREBEpKSujVqxf69+8PfX199OjRA5WVlfDz84OrqyuCg4NRXl4ObW1t9nSV+U8yMjLQ1dWF\nlZUVTExMYGlpCXV1dfB4PHZiY4SqqKgIT58+haKiIkRERATTP2pqakBEEBERgZqaGv766y+oqqpC\nX1+f9a4zDNOkPHv2DNLS0khJSUFycjJkZGQgLi6OmzdvYufOndDW1oaurq6ww2TqgZSUFOTl5fH8\n+XPcvn0bfn5+UFBQQPv27aGoqIiWLVtCVFSUXeO+ED+hX7BgARISEuDi4oKysjJ4enrC19cXly5d\nQmJiIlq2bCkojscIT7N4Qs8/KP8+FDonJwfx8fGIjIxEWFgYHjx4gJMnT2LMmDFCjJZhGObL8ZPy\n/fv3w93dHRYWFjA2NkafPn3QuXPnWvtmZGSgR48eSEhIYEUcGYZpEvjnsevXr8PBwQGioqIYPHgw\ncnNzERkZiWHDhiEvLw8hISEICQmBqakpO/c1IZmZmQgJCUFwcDAeP34sWDfdxMQEgwcPhoWFhbBD\n/O5UVlZCXl4ewcHB6NWrF3R0dLB27Vr07dsXgwYNQkZGBjZu3Ihff/1V2KE2e80ioecvV3fs2DEk\nJSVh7ty56Nq1a619MjIyEB4ejjFjxrA1FBmG+W75+/vjwoULSEhIQHl5OTp06IDevXvD2NgY/fr1\nQ2lpKbZs2YLnz5/Dz8+PFXFkGKZJcXR0xIULF2BkZISuXbti9uzZ0NHRQV5eHpSVlVFZWQk5OTkA\nYMl8E5WYmIgHDx4gPDwcsbGxUFNTg4eHh7DD+m7wO7o8PT2xbds2REREICEhAZaWlnj48CE6dOiA\nvXv3on379pg0aRK7h2gEmsXYcn6C7uzsjClTpqB9+/YAgKNHjyIuLg6amppYsmQJOnbsKMwwGYZh\n6ow/ty0vLw++vr64efMmfHx8cOvWLZSWluLp06ewsbHBpk2bAPx/AT2GYZimwNHREaqqqnj27Bky\nMjKwatUq9OnTB0OHDoW8vDzatWsn7BCZBqatrQ1tbW1MnToVoaGhrL7RF+J3dElLS8PCwgJlZWWI\niopCp06dBMm7hIQEjh07hsmTJwszVOZ/mvwTev7Tp9DQUIwaNQpv3rwBAJw/fx7z5s2DgYEBIiIi\ncPz4cUyYMIENv2IYpslJTU3FgwcPUFxcDDU1NZibm39yhQ+GYZimIiMjA0FBQQgNDUV8fDyKiorQ\nrl07NgSbYT4DPx9KSkqCpqYmnj59iuHDh2PLli1QVVXFjBkzMH/+fCxbtkzYoTJoBgk9/4Dcu3cv\nfHx84Ofnh9u3b+PgwYMwNzfHihUrsHTpUrx9+xYnTpwQdrgMwzAMwzBMPWJDsBnm81RXV0NcXBzn\nz59H69atMXr0aADv59P/8ssvcHFxQU1NDcaNG4fjx4+zpW8biSaf0POFh4djxIgRsLe3h5+fHywt\nLbFy5UooKytj4sSJkJaWhqurq2C+PcMwDMMwDNN0cLlcwRDsPn36CDschmm0ZGVlcezYMdjZ2dUa\nvZyVlYXCwkJoaGiwqQyNSJOtYpCeno7q6mrB/FATExNs3boVYWFh0NfXx44dO6CsrIyUlBQEBARg\n+vTpAFiBFIZhGIZhmKZITEwMAwYMYMk8w3zC9evXoaamhuXLl4PL5cLOzg7A+9yoqqoKNTU1UFZW\nRl5eHmpqaoQcLfOhJpvQz5kzBwkJCeBwOHj16hUAYPbs2QgPD8e5c+cgKSmJ9PR07Ny5Ez169BCc\n3FmlRoZhGIZhGIZhmhNpaWkMGzYMv//+OyoqKmBlZYWLFy+CiNCiRQuIiooiKioK06dPZ0PtG5km\nOeS+qKgIzs7O2LJlC8rLy2FtbQ09PT3069cPBgYGUFNTAwAUFBQgMjISioqK0NPTY8PtGYZhGIZh\nGIZploqKimBpaYn+/fsjLS0N9+/fBxHB2toa1tbWOHv2LKqrq+Hl5SXsUJkPNMmE/kOvX7/GsmXL\n8PLlS1RUVKBTp04wMDBA3759YWJiAmlpaWGHyDAMwzAMwzAM803x58eXlJSgdevWAN6vENGhQwe8\nefMGKSkpCAwMxI0bNxAdHQ1DQ0O4uLige/fuQo6c+VCTTOh5PB6ICKKionj16hVUVVXx+vVr3Lx5\nE76+vkhNTYWUlBTk5eXh4OCAcePGCTtkhmEYhmEYhmGYb4af0C9btgxZWVnYs2cPOnTo8NF+paWl\nKCkpQatWrQSJP9N4NMkJ4yIiIhAVFUVycjImTJiAkpISqKioYNq0abh8+TLOnDkDa2trvH79WlCh\nkcfjCTlqhmEYhmEYhmGYhsdP5lNSUuDp6YlRo0ZBRUVFsP3KlSvYtm0bXF1dweVyoaioyJL5RqpJ\nPaHn8XgQERHBrVu3YGlpieXLl+PRo0e4c+cOKioqwOFwICEhIewwGYZhGIZhGIZhhIZfO2zhwoVI\nS0uDt7c3OBwO3r59CxcXF6xevRqtWrUCl8vFnDlz4OzszIqHN1JN6lsREREBEWHu3LmQlJTEsWPH\nYGRkBACQlJSEhISEYJkFd3d3XLp0SZjhMgzDMAzDMAzDfHP8QuB37tyBvb29YOnuc+fOwcPDAzt2\n7EBxcTGWLVuGy5cvIzU1VZjhMv+iSSX0AFBRUQFvb2/Mnz8fJSUlcHFxQfv27eHk5ISwsDDBwbt0\n6VKIi4sDAJrQIAWGYRiGYRiGYZj/lJ+fD1VVVVRWVgr+tn//fgwePBizZ88GAPz888+QkZFBenq6\nsMJk/oOYsAOoT9XV1WjZsiV0dXUxduxYdO7cGaampvD19YWPjw+GDRsGaWlpqKurQ0FBAba2tgAg\n6JFiGIZhGIZhGIZpDtq1awd1dXWsW7cO+fn5iIiIAJfLxYIFC9CmTRsA76c0Z2dnw8zMTMjRMv+k\nycyhT0pKgpmZGTIyMtCyZcta28rLy5GdnY3ExEQ8fPgQxcXFGD16NAYNGsTWnmcYhmEYhmEYplnK\nyMjAhg0bEBYWBnl5eaxbtw7Dhg0D8D6Z/+WXXxAREYGAgADhBsr8oyaT0Ofk5CA0NBQ2Nja4ceMG\nxo4di6VLl2LKlCno1q2bYD+WwDMMwzAMwzAMw7yXl5eH7Oxs9OjRo9bfz549C2dnZ2zbtg0jRowQ\nUnTMf2kyCf2Hnj17huPHj8PHxwdPnjyBnp4enJyc4ODgADk5OWGHxzAMwzAMwzAM0+jwl7PLzc3F\nmjVroKqqivXr1ws7LOZfNJmEnn/wlZSU4MyZMxg7dixERUURHR2NS5cu4dq1aygpKYGOjg7OnTsH\nTU1NYYfMMAzDMAzDMAzTKKWmpqJ9+/aQkZERdijMv2gyCT1/KL2zszMuX76Mhw8fCrZxuVxkZWUh\nKCgIp06dgru7O5SUlIQYLcMwDMMwDMMwzLfDfwAKvJ8fz+FwWHHwJqDJJPR827ZtQ1VVFTZt2vTJ\n7VVVVWjRosU3jophGIZhGIZhGEa4kpOTa41UJiIQEUREmtxq5s1Gk/jm+H0SBQUFICLcvXsXycnJ\nn9yXJfMMwzAMwzAMwzQ3SUlJsLS0xIQJE+Dm5obMzExwOBxBMs/j8cDj8YQcJfOlRDdu3LhR2EHU\nFX+oiIeHBxYuXIhXr17h+fPnkJeXh4KCAiQkJIQcIcMwDMMwDMMwjPDk5eWhqqoKeXl5CAoKwvnz\n5/+vvfuPqar+4zj+unCFe9EYBc3xI0gxLZjTjDCnE1GTzAnVkMDVYDQrMrf+8I9WW5qZtFprs02R\n7kR02lrLLYYwE1wRLFF+hGaAXm/kkF+B0l1ehsDl+0e7LPf9bt806Oxcno8/zzl3e22cf168P5/P\n0YULFzQ+Pq6oqCgFBwdP9KqxsTGm9ibhN0vufXvou7q6VFlZqQMHDqixsVHz5s1Tdna20tPTtWjR\nIlmtVqOjAgAAAIAhBgYGdOzYMRUVFam1tVWxsbGKjY3VypUr9cwzzygpKcnoiLgDflPo/5eLFy/q\n8OHD+uqrr+RyuXT27FleUAAAAADTzsjIiGbMmKHBwUHl5eUpLi5OaWlpunz5spqamnTixAnZ7XZF\nRkaquLhYixcvNjoy/gbTFnrfKY2XLl3Svn37dO3aNRUUFGj16tW33Zf+3A9SX1+vZcuWGRkZAAAA\nAAzhW9G8fft2NTY26vTp0xN9aXR0VAcPHtSuXbv05JNP6sCBA5w9ZhKmXX9usVg0MDCgnJwcWSwW\nhYWFKTMzUw0NDaqpqVFbW5vuvfde5eTkKDY2ljIPAAAAYNoKDAyUJPX29ioqKuq24afVatWLL76o\n77//Xk899RRl3kRMWei9Xq8CAgL06aefatasWTp69KjCwsKUn5+v3Nxc/fLLL7JYLOrp6dH58+fl\ncDhkt9uNjg0AAAAAhsrIyNDLL7+sL7/8Uunp6RMHiAcHB6u2tlabN282OCHuhCkLve+/ScXFxfrw\nww8VExMjSbJarfJ6vfruu+8UHx+vffv26d1339WPP/7IhB4AAADAtJeWlqb09HS99NJLysjIUHp6\nugYGBnTy5EmNjIxo/fr1RkfEHTDdtwh8e+MvXLignp4ebdy4ceJeVVWV3nrrLcXHx0uScnJyNHv2\nbF25cmXitwAAAAAwHXm9Xt1zzz06dOiQDh48qI6ODuXm5mrv3r2yWCxyOBxGR8QdMuWEXpJOnz4t\nm82mV155RSkpKRodHZXdbteGDRsmnhkeHpbL5VJqaqqBSQEAAADAGH89LLynp0fNzc2KiIjQypUr\nlZmZqaGhIV29elULFiwwOCnuhukm9L6XMTU1Ve+8844k6ciRIyosLJTNZtPhw4fV0dEhSSorK9MD\nDzyg6Ohoeb3eid8CAAAAwHTgW6XscDiUnZ2tgoICLVu2THv37pUk2e12yryJmfazdT5ut1tnzpxR\nXV2dGhsb1dfXJ5vNpqSkJJWUlGjXrl3atm2bRkdHZbWadkECAAAAANwVj8ej+fPn64033tD27dsV\nHR2t9957T/n5+Tp69KjGx8e1adOmiQPyYB6mL/R/de3aNdXV1amurk4tLS1yOp1yuVx8dgEAAADA\ntOP7OlhRUZH279+vlpYW1dfXa8OGDWpvb1d4eLg+//xz7d+/X2VlZQoLCzM6Mu6QX42so6OjlZWV\npaysLP3888/q6+tTUFDQxIsMAAAAANOFrwP19vYqMTFRkvTZZ59pzZo1Cg8PlyR1d3fL6/VS5k3K\nb1tuQkKCVq1aJUmUeQAAAADT1saNG3Xq1CnV1NSovLxcBQUFkqTBwUEdOXJEzz33nMEJcbf8akIP\nAAAAALjd4sWLtWXLFr322msaHh5Wa2urbt68qUOHDmlsbEyvvvqq0RFxlxhdAwAAAICf8R2V9vXX\nX2t8fFyvv/66MjMz9fDDD6uoqEi5ubm6deuWSktLFRISYnBa3C2/OhQPAAAAAKY7j8ejkJAQNTQ0\nKDk5WUNDQxMn2Pf19am9vV2PPPKIZs6cKbvdbnBa/BMUegAAAADwA77DwHfv3q1Zs2apoqJCERER\nOnbs2H896/F4ZLPZOG/M5PjrAQAAAIAfCAgIkMfj0dmzZ1VaWqqqqir9/vvvcjgcam5u1ujo6MSz\nBQUF2rFjh4FpMRmY0AMAAACAnykuLtbu3bs1f/589ff3Kzw8XImJiUpOTlZkZKSysrJ0/PhxpaSk\nGB0V/wCFHgAAAAD8wMcff6y8vDyFh4fr+vXrGhwc1Ny5c1VRUaHKyko1Nzfrjz/+0NDQkBYsWKCy\nsjKjI+MfotADAAAAgMm1tbVp69atqq6u1q1bt/TFF1/oiSee0EMPPTTxzMDAgGpra3Xfffdp4cKF\nCgsLMzAxJgOFHgAAAABMbnh4WFeuXFFCQoKqqqqUn5+vuXPnat68eVq9erXWrFmj2bNnGx0Tk4xC\nDwAAAAB+5MaNG/rmm2/U0NCg8+fP6/r16woNDdWSJUuUkpKidevWKSgoyOiYmAQUegAAAADwU+3t\n7aqtrVV9fb1cLpecTqccDofWrl1rdDRMAgo9AAAAAJjc+Pi4LBaLJKm/v1+9vb1KTEy87f65c+dU\nW1urbdu2acaMGUZFxSSi0AMAAACAn3j//fd1/PhxWSwWBQUFacWKFXr++ef12GOPGR0NU4BCDwAA\nAAAm5vV6FRAQoB9++EEZGRl64YUXFBMTI5fLpaamJvX19enBBx/UihUr9Oabb8pmsxkdGZOEQg8A\nAAAAJuZbbv/222+rq6tLJSUlkiS32622tjY1NTWppqZGnZ2dqqmpMTgtJpPV6AAAAAAAgLvn2zsf\nHx+vkZGRieuhoaFKTk5WcnKynn32WbndbqMiYoowoQcAAAAAk/Ittz937pzy8vLkdrtVVFSkdevW\ncfDdNMCEHgAAAABMKiAgQJLU19enhIQEXb58WVu3btWjjz6q5cuXKy0tTQsXLjQ4JaYKE3oAAAAA\nMBHfnnmPx6OQkJCJ6yMjI2pubta3336rxsZGXb16VVarVaGhodqzZ48WLVpkYGpMhcCdO3fuNDoE\nAAAAAODvs1gs+uCDD5Samqru7m5FREQoLi5O0dHRWr58udauXav4+HgFBgbq119/VV5enmbOnGl0\nbEwyJvQAAAAAYEJnzpzRiRMnVF1drZaWFkVGRio7O1tbtmxRXFzcxHP9/f2KiIgwMCmmCoUeAAAA\nAExqeHhY3d3d+umnn3Tq1CmdPHlSAwMDWr9+vfbs2aOYmBijI2IKUegBAAAAwGR8++j/6ubNm+ro\n6FBVVZVKS0uVlpamwsJCgxLi30ChBwAAAACTGhsbkyQFBgbedv2TTz5RSUmJKioqmNL7sQCjAwAA\nAAAA/j/fLLazs1NOp1PSn0XeV+bHxrblBNcAAAEfSURBVMbk9XolSdnZ2RobG1NXV5cxYfGv4Dv0\nAAAAAGAihYWFunjxolatWqWlS5cqKSlJ999//21T+kuXLum3335TcnKygUkx1Sj0AAAAAGACvj3z\nS5cu1Y0bN1ReXq7KykrNmTNHjz/+uJYsWaKUlBS1trbqo48+0qZNmwxOjKnGHnoAAAAAMCGn06ny\n8nJVV1ers7NTwcHBcrvdcjqd2rx5s3bs2KE5c+YYHRNTiEIPAAAAACbX0NCguro6Wa1WRUVF6emn\nn1ZwcLDRsTDFKPQAAAAAAJgQp9wDAAAAAGBCFHoAAAAAAEyIQg8AAAAAgAlR6AEAAAAAMCEKPQAA\nAAAAJkShBwAAAADAhCj0AAAAAACYEIUeAAAAAAAT+g8c8HxX7V4x1gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa01770eb50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def bar_plot(dataframe, title='', print_table=True):\n",
    "    \"\"\" plot the result of a query in a bar chart \"\"\"\n",
    "    if print_table:\n",
    "        print dataframe\n",
    "    ax = dataframe.plot(kind='bar')\n",
    "    for tick in ax.get_xticklabels():\n",
    "        tick.set_rotation(70)\n",
    "    ax.set_title(title)\n",
    "    ax.set_xlabel('')\n",
    "    return ax\n",
    "\n",
    "data = mldb.query(\"\"\"\n",
    "SELECT count(*) AS count\n",
    "NAMED jurisdiction_description\n",
    "FROM entities\n",
    "WHERE jurisdiction != 'XXX'\n",
    "GROUP BY jurisdiction_description\n",
    "ORDER BY count DESC\n",
    "\"\"\")\n",
    "bar_plot(data, 'Nb of entities per jurisdiction')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also look at the number of offshore companies created each year. Here we use the [`date_part`](../../../../doc/#builtin/sql/ValueExpression.md.html#builtinfunctions) function to extract the year, and then we `GROUP BY` on that year and `count` the number of companies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa017016810>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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o27YtOnXqhIYNG8LR0RFnzpzBd999hzNnzuDy5cvapYcvvfQStmzZgjfffBMH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\n7DNoNBoMGjRI9Rjx8fEYPHgwtFotJk+ejCFDhmQ5vGPr1q3w8PBQnR8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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa017403710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bar_plot(mldb.query(\"\"\"\n",
    "SELECT count(*) as count\n",
    "NAMED year\n",
    "FROM (\n",
    "    SELECT date_part('year', incorporation_date) AS year\n",
    "    FROM entities\n",
    "    WHERE incorporation_date IS NOT NULL\n",
    ")\n",
    "WHERE year BETWEEN 1977 AND 2016\n",
    "GROUP BY year\n",
    "ORDER BY year\n",
    "\"\"\"), title='nb of incorporated offshore companies in the panama papers', print_table=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can do something similar but also group on the country, and see how many offshore companies were created per year per country. We only keep the top countries using a `IN` statement."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "data = mldb.query(\"\"\"\n",
    "SELECT\n",
    "    year, country, count(*) AS count\n",
    "    FROM (\n",
    "        SELECT date_part('year', incorporation_date) AS year,\n",
    "               jurisdiction_description AS country\n",
    "        FROM entities\n",
    "        WHERE incorporation_date IS NOT NULL\n",
    "              AND (jurisdiction_description IN (\n",
    "                SELECT jurisdiction_description\n",
    "                FROM entities\n",
    "                WHERE jurisdiction != 'XXX'\n",
    "                GROUP BY jurisdiction_description\n",
    "                ORDER BY count(*) DESC\n",
    "                LIMIT 20\n",
    "              )\n",
    "            )\n",
    "    )\n",
    "    WHERE year BETWEEN 1977 AND 2016\n",
    "    GROUP BY country, year\n",
    "    ORDER BY country, year\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "            var render_items = [{\"docid\":\"16599be6-3fc9-4da5-b758-3f402ec1b057\",\"elementid\":\"1cdd35ab-b09f-412d-a717-b3c4d89ead61\",\"modelid\":\"50d3de7a-d559-47b6-b207-4bd283427019\",\"notebook_comms_target\":\"97cf7b8d-fb94-4fa6-b582-4d72e3f7ad58\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "        });\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i](window.Bokeh);\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<p><code>&lt;Bokeh Notebook handle for <strong>In[8]</strong>&gt;</code></p>"
      ],
      "text/plain": [
       "<bokeh.io._CommsHandle at 0x7fa016ee4150>"
      ]
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     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "hover = HoverTool(tooltips=[(\"year\", \"$x\"),(\"count\", \"$y\"),(\"country\", \"@country\")])\n",
    "line = Line(data, x='year', y='count', color='country', legend='top_left', width=1000, tools=[hover])\n",
    "show(line)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On thing that pops out is that the British Virgin Islands is a very popular choice! Also, we can see that in the beginning of the 2000s, the number of offshore companies created in Niue and the Bahamas dropped in favour of Panama, Samoa and the Seychelles."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Intermediaries\n",
    "\n",
    "Now let's have a look at intermediaries (banks, law firms, etc.) helping in the process of creating an offshore compagny."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Response [201]>\n"
     ]
    }
   ],
   "source": [
    "print mldb.post(\"/v1/procedures\", {\n",
    "    \"type\": 'import.text',\n",
    "    \"params\": {\n",
    "        \"dataFileUrl\": data_dir + 'Intermediaries.csv.gz',\n",
    "        \"delimiter\": ',',\n",
    "        \"encoding\": 'latin1',\n",
    "        \"runOnCreation\": True,\n",
    "        \"outputDataset\": 'intermediaries',\n",
    "        \"ignoreBadLines\": True,\n",
    "    }\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>address</th>\n",
       "      <th>countries</th>\n",
       "      <th>country_codes</th>\n",
       "      <th>internal_id</th>\n",
       "      <th>name</th>\n",
       "      <th>node_id</th>\n",
       "      <th>sourceID</th>\n",
       "      <th>status</th>\n",
       "      <th>valid_until</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>_rowName</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MICHAEL PAPAGEORGE; MR. 106 NICHOLSON STREET B...</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>10001</td>\n",
       "      <td>MICHAEL PAPAGEORGE, MR.</td>\n",
       "      <td>11000001</td>\n",
       "      <td>Panama Papers</td>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>The Panama Papers  data is current through 2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>None</td>\n",
       "      <td>Liechtenstein</td>\n",
       "      <td>LIE</td>\n",
       "      <td>10004</td>\n",
       "      <td>CORFIDUCIA ANSTALT</td>\n",
       "      <td>11000002</td>\n",
       "      <td>Panama Papers</td>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>The Panama Papers  data is current through 2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>None</td>\n",
       "      <td>Monaco</td>\n",
       "      <td>MCO</td>\n",
       "      <td>10014</td>\n",
       "      <td>DAVID, RONALD</td>\n",
       "      <td>11000003</td>\n",
       "      <td>Panama Papers</td>\n",
       "      <td>SUSPENDED</td>\n",
       "      <td>The Panama Papers  data is current through 2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>None</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>BEL</td>\n",
       "      <td>10015</td>\n",
       "      <td>DE  BOUTSELIS, JEAN-PIERRE</td>\n",
       "      <td>11000004</td>\n",
       "      <td>Panama Papers</td>\n",
       "      <td>SUSPENDED</td>\n",
       "      <td>The Panama Papers  data is current through 2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>None</td>\n",
       "      <td>Lebanon</td>\n",
       "      <td>LBN</td>\n",
       "      <td>10029</td>\n",
       "      <td>THE LEVANT LAWYERS (TLL)</td>\n",
       "      <td>11000005</td>\n",
       "      <td>Panama Papers</td>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>The Panama Papers  data is current through 2015</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    address      countries  \\\n",
       "_rowName                                                                     \n",
       "2         MICHAEL PAPAGEORGE; MR. 106 NICHOLSON STREET B...   South Africa   \n",
       "3                                                      None  Liechtenstein   \n",
       "4                                                      None         Monaco   \n",
       "5                                                      None        Belgium   \n",
       "6                                                      None        Lebanon   \n",
       "\n",
       "         country_codes  internal_id                        name   node_id  \\\n",
       "_rowName                                                                    \n",
       "2                  ZAF        10001     MICHAEL PAPAGEORGE, MR.  11000001   \n",
       "3                  LIE        10004          CORFIDUCIA ANSTALT  11000002   \n",
       "4                  MCO        10014               DAVID, RONALD  11000003   \n",
       "5                  BEL        10015  DE  BOUTSELIS, JEAN-PIERRE  11000004   \n",
       "6                  LBN        10029    THE LEVANT LAWYERS (TLL)  11000005   \n",
       "\n",
       "               sourceID     status  \\\n",
       "_rowName                             \n",
       "2         Panama Papers     ACTIVE   \n",
       "3         Panama Papers     ACTIVE   \n",
       "4         Panama Papers  SUSPENDED   \n",
       "5         Panama Papers  SUSPENDED   \n",
       "6         Panama Papers     ACTIVE   \n",
       "\n",
       "                                              valid_until  \n",
       "_rowName                                                   \n",
       "2         The Panama Papers  data is current through 2015  \n",
       "3         The Panama Papers  data is current through 2015  \n",
       "4         The Panama Papers  data is current through 2015  \n",
       "5         The Panama Papers  data is current through 2015  \n",
       "6         The Panama Papers  data is current through 2015  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mldb.query(\"SELECT * FROM intermediaries LIMIT 5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's see how they are distributed geographically. First we need split the countries, using the [`tokenize`][0] function, because some of them are linked to multiple countries (separated by a semicolon in the `countries` column). Then we [`transpose`][1] the dataset, because we want the countries to be the rows. Finally, for each row (i.e. each country), we calculate the [`horizontal_sum`][2] of all the intermediaries.\n",
    "\n",
    "[0]: ../../../../doc/#builtin/sql/ValueExpression.md.html#builtinfunctions\n",
    "[1]: http://localhost:8087/doc/#builtin/sql/FromExpression.md.html\n",
    "[2]: ../../../../doc/#builtin/sql/ValueExpression.md.html#builtinfunctions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                      nb_intermediaries\n",
      "_rowName                               \n",
      "Hong Kong                          4902\n",
      "United Kingdom                     2106\n",
      "United States                      1540\n",
      "Switzerland                        1339\n",
      "Taiwan                             1324\n",
      "Singapore                          1315\n",
      "China                               657\n",
      "Panama                              600\n",
      "Indonesia                           530\n",
      "Guatemala                           444\n",
      "Not identified                      417\n",
      "Luxembourg                          411\n",
      "Brazil                              406\n",
      "Thailand                            362\n",
      "Malaysia                            354\n",
      "Jersey                              340\n",
      "Ecuador                             325\n",
      "Uruguay                             300\n",
      "Guernsey                            249\n",
      "Canada                              242\n",
      "Colombia                            233\n",
      "Isle of Man                         213\n",
      "Spain                               211\n",
      "Australia                           201\n",
      "Venezuela                           188\n",
      "Cyprus                              183\n",
      "United Arab Emirates                182\n",
      "Monaco                              178\n",
      "Israel                              148\n",
      "Russia                              140\n",
      "France                              127\n",
      "Costa Rica                          125\n",
      "Liechtenstein                       123\n",
      "Bahamas                             122\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa016ee4a50>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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cAAAAAACLEMoBAAAAALAIoRwAAAAAAIuUsXoAKLyUlGwd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//TU9e/YkICDAtt/rrU3ctm7dSu/evfHy8rIV8yIiIveT9VrUxcWFTp061VjWZWdnh4eHh7bG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\nRURERERERAyiolxERERERETEIP8PMYToiMq6Ri0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa0173d1f90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = mldb.query(\"\"\"\n",
    "SELECT horizontal_sum({*}) as nb_intermediaries\n",
    "FROM transpose((\n",
    "    SELECT tokenize(countries, {splitChars: ';'}) AS *\n",
    "    FROM intermediaries\n",
    "    WHERE countries IS NOT NULL\n",
    "))\n",
    "WHERE horizontal_sum({*}) > 100\n",
    "ORDER BY nb_intermediaries DESC\n",
    "\"\"\")\n",
    "bar_plot(data, 'Nb of intermediaries per country')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Officers\n",
    "\n",
    "Now let's have a look at the Officers' data, the owners being the offshore entities."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Response [201]>\n"
     ]
    }
   ],
   "source": [
    "print mldb.post(\"/v1/procedures\", {\n",
    "    \"type\": 'import.text',\n",
    "    \"params\": {\n",
    "        \"dataFileUrl\": data_dir + 'Officers.csv.gz',\n",
    "        \"delimiter\": ',',\n",
    "        \"encoding\": 'latin1',\n",
    "        \"runOnCreation\": True,\n",
    "        \"outputDataset\": 'officers',\n",
    "        \"ignoreBadLines\": True\n",
    "    }\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>countries</th>\n",
       "      <th>country_codes</th>\n",
       "      <th>name</th>\n",
       "      <th>node_id</th>\n",
       "      <th>sourceID</th>\n",
       "      <th>valid_until</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>_rowName</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>318399</th>\n",
       "      <td>Not identified</td>\n",
       "      <td>XXX</td>\n",
       "      <td>Xu Ming Gang</td>\n",
       "      <td>66866</td>\n",
       "      <td>Offshore Leaks</td>\n",
       "      <td>The Offshore Leaks data is current through 2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318400</th>\n",
       "      <td>Not identified</td>\n",
       "      <td>XXX</td>\n",
       "      <td>Indo-East Engineering &amp; Construction Pte Ltd</td>\n",
       "      <td>66867</td>\n",
       "      <td>Offshore Leaks</td>\n",
       "      <td>The Offshore Leaks data is current through 2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318401</th>\n",
       "      <td>Not identified</td>\n",
       "      <td>XXX</td>\n",
       "      <td>Great State Development Limited</td>\n",
       "      <td>66868</td>\n",
       "      <td>Offshore Leaks</td>\n",
       "      <td>The Offshore Leaks data is current through 2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318402</th>\n",
       "      <td>Cayman Islands</td>\n",
       "      <td>CYM</td>\n",
       "      <td>Hong Kong Bank International Trustee Limited -...</td>\n",
       "      <td>45097</td>\n",
       "      <td>Offshore Leaks</td>\n",
       "      <td>The Offshore Leaks data is current through 2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318403</th>\n",
       "      <td>Hong Kong</td>\n",
       "      <td>HKG</td>\n",
       "      <td>CHEN Chia Long, Carlos ???</td>\n",
       "      <td>45098</td>\n",
       "      <td>Offshore Leaks</td>\n",
       "      <td>The Offshore Leaks data is current through 2010</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               countries country_codes  \\\n",
       "_rowName                                 \n",
       "318399    Not identified           XXX   \n",
       "318400    Not identified           XXX   \n",
       "318401    Not identified           XXX   \n",
       "318402    Cayman Islands           CYM   \n",
       "318403         Hong Kong           HKG   \n",
       "\n",
       "                                                       name  node_id  \\\n",
       "_rowName                                                               \n",
       "318399                                         Xu Ming Gang    66866   \n",
       "318400         Indo-East Engineering & Construction Pte Ltd    66867   \n",
       "318401                      Great State Development Limited    66868   \n",
       "318402    Hong Kong Bank International Trustee Limited -...    45097   \n",
       "318403                           CHEN Chia Long, Carlos ???    45098   \n",
       "\n",
       "                sourceID                                      valid_until  \n",
       "_rowName                                                                   \n",
       "318399    Offshore Leaks  The Offshore Leaks data is current through 2010  \n",
       "318400    Offshore Leaks  The Offshore Leaks data is current through 2010  \n",
       "318401    Offshore Leaks  The Offshore Leaks data is current through 2010  \n",
       "318402    Offshore Leaks  The Offshore Leaks data is current through 2010  \n",
       "318403    Offshore Leaks  The Offshore Leaks data is current through 2010  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mldb.query('SELECT * FROM officers LIMIT 5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we also need all the links between those officers. The next dataset actually contains links between everything we have loaded so far. They are called \"edges\" as edges in a [graph][1], and our entities/intermediaries/officers are the nodes of the graph. \n",
    "[1]:https://en.wikipedia.org/wiki/Graph_(discrete_mathematics)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Response [201]>\n"
     ]
    }
   ],
   "source": [
    "print mldb.post(\"/v1/procedures\", {\n",
    "    \"type\": 'import.text',\n",
    "    \"params\": {\n",
    "        \"dataFileUrl\": data_dir + 'all_edges.csv.gz',\n",
    "        \"delimiter\": ',',\n",
    "        \"encoding\": 'latin1',\n",
    "        \"runOnCreation\": True,\n",
    "        \"outputDataset\": 'edges',\n",
    "        \"ignoreBadLines\": True,\n",
    "        \"select\": \"* EXCLUDING (rel_type), lower(rel_type) AS rel_type\"\n",
    "    }\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node_1</th>\n",
       "      <th>node_2</th>\n",
       "      <th>rel_type</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>_rowName</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11000001</td>\n",
       "      <td>10208879</td>\n",
       "      <td>intermediary of</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11000001</td>\n",
       "      <td>10198662</td>\n",
       "      <td>intermediary of</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11000001</td>\n",
       "      <td>10159927</td>\n",
       "      <td>intermediary of</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>11000001</td>\n",
       "      <td>10165779</td>\n",
       "      <td>intermediary of</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>11000001</td>\n",
       "      <td>10152967</td>\n",
       "      <td>intermediary of</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            node_1    node_2         rel_type\n",
       "_rowName                                     \n",
       "2         11000001  10208879  intermediary of\n",
       "3         11000001  10198662  intermediary of\n",
       "4         11000001  10159927  intermediary of\n",
       "5         11000001  10165779  intermediary of\n",
       "6         11000001  10152967  intermediary of"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mldb.query('SELECT * FROM edges LIMIT 5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's explore a bit and list the main type of links in the graph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>_rowName</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>shareholder of</th>\n",
       "      <td>382788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>intermediary of</th>\n",
       "      <td>319121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>registered address</th>\n",
       "      <td>316472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director of</th>\n",
       "      <td>118589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>similar name and address as</th>\n",
       "      <td>46761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>records &amp; registers of</th>\n",
       "      <td>36318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beneficiary of</th>\n",
       "      <td>19182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>secretary of</th>\n",
       "      <td>14351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>same name and registration date as</th>\n",
       "      <td>3146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beneficial owner of</th>\n",
       "      <td>1872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trustee of trust of</th>\n",
       "      <td>1418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trust settlor of</th>\n",
       "      <td>1234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>authorised person / signatory of</th>\n",
       "      <td>1229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>protector of</th>\n",
       "      <td>1198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nominee shareholder of</th>\n",
       "      <td>1130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>same address as</th>\n",
       "      <td>960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>related entity</th>\n",
       "      <td>622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>assistant secretary of</th>\n",
       "      <td>583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alternate director of</th>\n",
       "      <td>409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>co-trustee of trust of</th>\n",
       "      <td>320</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     count\n",
       "_rowName                                  \n",
       "shareholder of                      382788\n",
       "intermediary of                     319121\n",
       "registered address                  316472\n",
       "director of                         118589\n",
       "similar name and address as          46761\n",
       "records & registers of               36318\n",
       "beneficiary of                       19182\n",
       "secretary of                         14351\n",
       "same name and registration date as    3146\n",
       "beneficial owner of                   1872\n",
       "trustee of trust of                   1418\n",
       "trust settlor of                      1234\n",
       "authorised person / signatory of      1229\n",
       "protector of                          1198\n",
       "nominee shareholder of                1130\n",
       "same address as                        960\n",
       "related entity                         622\n",
       "assistant secretary of                 583\n",
       "alternate director of                  409\n",
       "co-trustee of trust of                 320"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mldb.query(\"\"\"\n",
    "SELECT count(*) AS count\n",
    "NAMED rel_type\n",
    "FROM edges\n",
    "GROUP BY rel_type\n",
    "ORDER BY count DESC\n",
    "LIMIT 20\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can then use those links to see for example what officers are shareholders of what offshore entities, using a simple [`JOIN`][0]. We can then filter to keep only the \"[the bearer][1]\" (or \"el portador\" in Spanish) kind of shareholders. Those are the most secretive ones, not keeping track of who is really behind the shares. Finally we group those by the country of the offshore company and by year.\n",
    "[0]: ../../../../doc/#builtin/sql/FromExpression.md.html\n",
    "[1]: https://en.wikipedia.org/wiki/Bearer_instrument"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "data = mldb.query(\"\"\"\n",
    "SELECT count(*) as count, country, year\n",
    "FROM (\n",
    "  SELECT en.jurisdiction_description as country, date_part('year', en.incorporation_date) as year, en.jurisdiction\n",
    "  FROM edges as e\n",
    "  JOIN officers as o\n",
    "    ON o.node_id = e.node_1\n",
    "  JOIN entities as en\n",
    "    ON en.node_id = e.node_2\n",
    "  WHERE ((lower(o.name) LIKE '%the bearer%') OR (lower(o.name) LIKE '%el portador%'))\n",
    "        AND e.rel_type = 'shareholder of'\n",
    "        AND (en.jurisdiction != 'XXX')\n",
    ")\n",
    "GROUP BY country, year\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
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       "<p><code>&lt;Bokeh Notebook handle for <strong>In[18]</strong>&gt;</code></p>"
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    "hover = HoverTool(tooltips=[(\"year\", \"$x\"),(\"count\", \"$y\"),(\"country\", \"@country\")])\n",
    "line = Line(data, x='year', y='count', color='country', legend='top_left', width=1000, tools=[hover],\n",
    "            title='Number of \"bearer\" shareholders per offshore jurisdictions')\n",
    "show(line)"
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   "source": [
    "You can clearly see when the British Virgin Islands started to add more regulation on bearer shares, and when they switched to other countries."
   ]
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   "source": [
    "## Conclusion\n",
    "\n",
    "This was a quick overview of how we can use MLDB to explore data, using its powerful yet simple SQL-like interface. You can find more advanced uses of MLDB in our other [demos and tutorials][1].\n",
    "\n",
    "[1]: ../../../../doc/#builtin/Demos.md.html"
   ]
  }
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